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Database Cloud

What Is NoSQL Database?

The database world is changing fast, with new advances that are completely transforming the way organizations use massive amounts of. Today, we’re announcing the availability of Oracle NoSQL Database Cloud, the latest addition to the Oracle Database portfolio. Try NoSQL Database today - free Developers can now focus on application development without dealing with the hassle of managing:   Back-end servers Storage expansion Cluster deployments Software installation Patches Upgrades Backup Operating systems High-availability configurations They can quickly provision throughput as application workload demands change dynamically and create modern applications without the complexities of maintaining a server or storage. Watch the video to learn more.  What does this mean? It’s a new era for developers. Picture this. With NoSQL Database, developers can now easily develop and deploy applications that respond to inquiries incredibly fast, such as: UI personalization Shopping carts Online fraud detection Gaming Online Advertising And much more NoSQL Database can do this because it is: Modern: A developer-oriented solution, Oracle NoSQL Database is designed for flexibility. The database supports key value APIs, including a simple declarative SQL API and command line interfaces along with flexible data models for data representation including relational and ad-hoc JSON. Open: The database features innovative SQL interoperability between fixed schema and ad-hoc JSON data models. Users also have deployment options to either run the same application in the cloud or on-premises with no platform lock-in. Easy: With an available SDK and support for popular languages including Python, Node.JS, and Java, Oracle offers a no-hassle application development solution to connect easily to the Oracle NoSQL Database Cloud.  What Does NoSQL Database Do? Oracle NoSQL Database scales to meet dynamic application workload throughput and storage requirements. Users create tables to store their application data and perform CRUD operations. A NoSQL Database table is similar to a relational table with additional properties like provisioned write units, read units, and storage capacity. Users provision the throughput and storage capacity in each table based on the anticipated workloads. NoSQL Database resources are allocated and scaled accordingly to meet the workload requirements. Read Units come in two flavors, Absolute Consistency and Eventual Consistency. Use Absolute Consistency when you need the most recently updated data and Eventual Consistency when you can use slightly older data. Users are billed hourly based on the throughput capacity and storage that is provisioned. Oracle has made the development environment simple to use to develop applications for NoSQL Database. The application resides as a client which connects to the cloud service. NoSQL Database uses the https protocol to connect these two independently running processes. To connect the client to the server, the following snippet of Java code is needed:  URL serviceURL = new URL("http", hostname, port, "/");  NoSQLHandleConfig config = new NoSQLHandleConfig(serviceURL); The “hostname” is called the Service URI and points to a specific region that identifies where NoSQL Database  is running. The first release of NoSQL Database resides in the east coast region of the United States, hence the URI must be “ans.uscom-east-1.oraclecloud.com “. How To Get Started with NoSQL Database The Java driver can be used by application developers that wish to connect directly to the production service for application development. In addition, we provide a simulator of NoSQL Database which can be run locally.  The Oracle NoSQL Cloud Simulator is easily installed on a local machine such as a Linux VM running on a laptop. A simple script is available that starts up the Oracle NoSQL Cloud Simulator. The download is available on OTN. How to Provision a Table with NoSQL Database As mentioned earlier, users must provision the table they will use to store their data by specifying the maximum amount of write performance the application will require, the maximum amount of read performance the application will require, as well as the size of the table in terms of gigabytes. The write and read amounts are specified as Write Units and Read Units. Write Unit per Month: The throughput of up to 1 kilobyte (KB) of data per second for a write operation over a month, approximately 2.6 million writes. Read Unit per Month: The throughput of up to 1 kilobyte (KB) of data per second for an eventually consistent read operation over a month, approximately 2.6 million reads. To achieve the throughput of up to 1 kilobyte (KB) of data per second for an absolute consistent read, the equivalent of two eventual consistent read units need to be provisioned. A more detailed discussion of pricing will be in a future blog. Specific pricing and estimates of your monthly usage can be obtained by visiting the Oracle Cloud Cost Estimator. Once the workload requirements for Write Units, Read Units, and amount of database storage has been determined for your specific application, the following Java code snippet is how the table would be provisioned:  TableRequest tableRequest = new TableRequest()  .setStatement("create table if not exists USERS(id integer, " +"name JSON, primary key(id);  .setTableLimits(new TableLimits(100, 50, 150));  TableResult tres = handle.tableRequest(tableRequest); In the above example, a Table is requested that is provisioned with 100 Write Units, 50 Read Units, and 150 GB of storage. These are the initial values that the application will be able to use. The following Java code example shows how to insert a small JSON datatype into a table: private final static String JSON_DATA = "{" +  " \"userdata\": [" +  " {" +  " \"id\": \"1\"," +  " \"name\": \"Julie Sherman\"," +  " \"gender\" : \"female\"," +  " \"Age\" : \"25\"" +  " }" +  " ]" +  "}";  MapValue value = new MapValue()    .put("id", 1)    .putFromJson("name", JSON_DATA, null);  putRequest = new PutRequest()    .setvalue (value)    .setTableName("users");  putRes = handle.put(putRequest); Over time, your workload may increase which means that the Write Units, Read Units, or Storage amount may need to increase as well. In some cases, depending on the workload, these values might need to be decreased as well. The following Java code example changes the values for TableLimits to 2000, 100, and 500. TableRequest tableRequest = new TableRequest()        .setTableName(“users”)        .setTableLimits(new TableLimits(2000, 100, 500))        .setTimeout(1000);  TableResult res = conn.tableRequest(tableRequest); A Benefit of a NoSQL Database in the Cloud One of the most important aspects of the cloud service is the ability to increase or decrease the provisioned throughput based on the workloads. For example see figure 1, if your application exhibits time of day or day of week peak throughput patterns, you can modify the provisioned throughput of your application to meet those demand peak times and lower your provisioned throughput when demand tapers off. This means you only pay for the peak throughput when it is needed. A dynamic workload like this may be seen in a shopping site during some peak buying seasons or for any application that has periodic workload changes. As your workload decreases, there is no need to use your Oracle cloud credits to maintain the throughput at the peak demand level. Your application can recognize the decreased demands and scale back, thus saving your company operational expenses. While all this is happening, your latency remains consistent. Figure 1 - Changes in throughput as workload changes Summary Oracle NoSQL Database solves a broad range of application problems frequently prevalent in modern applications. With support for predictable, low latency access to key/value data and rich JSON query experience, it’s ideal for UI personalization, real time fraud detection, and IoT data management applications. Developers can quickly change the provisioned throughput based on workload demands. The API for NoSQL Database is simple to use and flexible in terms of the types of data that can be stored. The predictable latencies will appeal to any developer who is creating an application in which users require fast interaction. As a fully managed service, developers and organizations can concentrate on creating innovative applications without the hassle of maintaining a server, storage, and network infrastructure.  More information can be found on the NoSQL Database webpage. To get started and see what NoSQL Database can do for you, start your free trial today.  For more information, download: Whitepaper: Flexible Data Models. Zero Administration. Automatic Scaling. Whitepaper: Oracle NoSQL Database Cloud Whitepaper: Capacity Planning for Oracle NoSQL Database Cloud Written by Michael Schulman and Michael Brey

The database world is changing fast, with new advances that are completely transforming the way organizations use massive amounts of. Today, we’re announcing the availability of Oracle NoSQL Database...

Autonomous Database

Transaction Processing from Oracle is Now Autonomous

Today Larry Ellison announced the general availability of Oracle Autonomous Transaction Processing Cloud Service, the newest member of the Oracle Autonomous Database family, combining the flexibility of cloud with the power of machine learning to deliver data management as a service. Traditionally, creating a database management system required a team of experts to custom build and manually maintain a complex hardware and software stack. With each system being unique, this approach led to poor economies of scale and a lack of the agility typically needed to give the business a competitive edge. Try Autonomous Transaction Processing—Sign up for the trial Autonomous Transaction Processing enables businesses to safely run a complex mix of high-performance transactions, reporting, and batch processing using the most secure, available, performant, and proven platform - Oracle Database on Exadata in the cloud. Unlike manually managed transaction processing databases, Autonomous Transaction Processing provides instant, elastic compute and storage, so only the required resources are provisioned at any given time, greatly decreasing runtime costs. But What Does the Autonomous in Autonomous Transaction Processing Really Mean? Self-Driving Autonomous Transaction Processing is a self-driving database, meaning it eliminates the human labor needed to provision, secure, update, monitor, backup, and troubleshoot a database. This reduction in database maintenance tasks reduces costs and frees scarce administrator resources to work on higher-value tasks. When an Autonomous Transaction Processing database is requested, an Oracle Real-Application-Cluster (RAC) database is automatically provisioned on Exadata Cloud Infrastructure. This high-availability configuration automatically benefits from many of the performance-enhancing Exadata features such as smart flash cache, Exafusion communication over a super-fast InfiniBand network, and automatic storage indexes. In addition, when it comes time to update Autonomous Transaction Processing, patches are applied in a rolling fashion across the nodes of the cluster, eliminating unnecessary down time. Oracle automatically applies all clusterware, OS, VM, hypervisor, and firmware patches as well. In Autonomous Transaction Processing the user does not get OS login privileges or SYSDBA privileges, so even if you want to do the maintenance tasks yourself, you cannot. It is like a car with the hood welded shut so you cannot change the oil or add coolant or perform any other maintenance yourself. Many customers want to move to the cloud because of the elasticity it can offer. The ability to scale both in terms of compute and storage only when needed, allows people to truly pay per use. Autonomous Transaction Processing not only allows you to scale compute and storage resources, but it also allows you to do it independently online (no application downtime required). Self-Securing Autonomous Transaction Processing is also self-securing, as it protects itself from both external attacks and malicious internal users. Security patches are automatically applied every quarter. This is much sooner than most manually operated databases, narrowing an unnecessary window of vulnerability. Patching can also occur off-cycle if a zero-day exploit is discovered. Again, these patches are applied in a rolling fashion across the nodes of the cluster, avoiding application downtime. But patching is just part of the picture. Autonomous Transaction Processing also protects itself with always-on encryption. This means data is encrypted at rest but also during any communication with the database. Customers control their own encryption keys to further improve security. Autonomous Transaction Processing also secures itself from Oracle cloud administrators using Oracle Database Vault. Database Vault uniquely allows Oracle’s cloud administrators to do their jobs but prevents them from being able to see any customer data store in Autonomous Transaction Processing. Finally, customers are not given access to either the operating system or the SYSDBA privilege to prevent security breaches from malicious internal users or from stolen administrator credentials via a phishing attack. Self-Repairing Autonomous Transaction Processing automatically recovers from any failures without downtime. The service is deployed on our Exadata cloud infrastructure, which has redundancy built-in at every level of the hardware configuration to protect against any server, storage, or network failures. Autonomous Transaction Processing automatically backs up the database nightly and gives the ability to restore the database from any of the backups in the archive. It also has the ability to rewind data to a point in time in the past to back out any user errors using Oracle’s unique Flashback Database capabilities.  Since users don’t have access to the OS, Oracle is on the hook to diagnose any problems that may occur. Machine learning is used to detect and diagnose any anomalies. If the database detects an impending error, it gathers statistics and feeds them to AI diagnostics to determine the root cause. If it’s a known issue, the fix is quickly applied. If it’s a new issue a service request will be automatically opened with Oracle support. How Does Autonomous Transaction Processing Differ from the Autonomous Data Warehouse? Up until now, all of the functionality I have described is shared between both Autonomous Data Warehouse and Autonomous Transaction Processing. Where the two services differ is actually inside the database itself. Although both services use Oracle Database 18c, they have been optimized differently to support two very different but complementary workloads. The primary goal of the Autonomous Data Warehouse is to achieve fast complex analytics, while Autonomous Transaction Processing has been designed to efficiently execute a high volume of simple transactions. Configuration The differences in the two services begin with how we configure them. In Autonomous Data Warehouse, the majority of the memory is allocated to the PGA to allow parallel joins and complex aggregations to occur in-memory, rather than spilling to disk. While on Autonomous Transaction Processing, the majority of the memory is allocated to the SGA to ensure the critical working set can be cached to avoid IO. Data Formats We also store the data differently in each service. In the Autonomous Data Warehouse, data is stored in a columnar format as that’s the best format for analytics processing. While in Autonomous Transaction Processing, data is stored in a row format. The row format is ideal for transaction processing, as it allows quick access and updates to all of the columns in an individual record since all of the data for a given record is stored together in-memory and on-storage.  Statistics Gathering Regardless of which type of autonomous database service you use, optimizer statistics will be automatically maintained. On the Autonomous Data Warehouse, statistics (including histograms) are automatically maintained as part of all bulk-load activities. With Autonomous Transaction Processing, data is added using more traditional insert statements, so statistics are automatically gathered when the volume of data changes significantly enough to make a difference to the statistics. Query Optimization Queries executed on the Autonomous Data Warehouse are automatically parallelized, as they tend to access large volumes of data in order to answer the business question. While indexes are used on Autonomous Transaction Processing to access only the specific rows of interest. We also use RDMA on Autonomous Transaction Processing to provide low response time direct access to data stored in-memory on other servers in the cluster. Resource Management Both Autonomous Data Warehouse and Autonomous Transaction Processing offer multiple database “services” to make it easy for users to control the priority and parallelism used by each session. The services predefine three priority levels: Low, Medium, and High. Users can just choose the best priority for each aspect of their workload. For each database service you have the ability to define the criteria of a runaway SQL statement. Any SQL statement that excesses these parameters either in terms of elapse time or IO will be automatically terminated. On Autonomous Data Warehouse only one service (LOW) automatically runs SQL statements serially. While on Autonomous Transaction Processing, only one service (PARALLEL) automatically runs SQL statements with parallel execution. You can also use the Medium priority service by default which allows the Low priority service to be used for requests such as reporting and batch to prevent them from interfering with mainstream transaction processing.  The High priority level can be used for more important users or actions.  Can I Use Autonomous Transaction Processing to Develop New Applications? Autonomous Transaction Processing is the ideal platform for new application development. Developers no longer have to wait on others to provision hardware, install software, and create a database for them. With Autonomous Transaction Processing, developers can easily deploy an Oracle database in a matter of minutes, without worrying about manual tuning or capacity planning. Autonomous Transaction Processing also has the most advanced SQL and PL/SQL support accelerating developer productivity by minimizing the amount of application code required to implement complex business logic. It also has a complete set of integrated Machine Learning algorithms, simplifying the development of applications that perform real-time predictions such as personalized shopping recommendations, customer churn rates, and fraud detection.  Where Can I Get More Information and Get My Hands on Autonomous Transaction Processing? The first place to visit is the Autonomous Transaction Processing Documentation. There you will find details on exactly what you can expect from the service. We also have a great program that lets you get started with Oracle Cloud with $300 in free credits, which last much longer than you would expect since the trial service has very low pricing. Using your credits (which will probably last you around 30 days depending on how you configure Autonomous Transaction Processing) you will be able to get valuable hands-on time to try loading some your own workloads. Below is a quick video to help you get started.  

Today Larry Ellison announced the general availability of Oracle Autonomous Transaction Processing Cloud Service, the newest member of the Oracle Autonomous Database family, combining the flexibility...

Autonomous Database

Autonomous Database: What Does That Mean for You?

We’re living in a new age of the database. Oracle sparked the first revolution, with the relational database. Now we’re back again with the second revolution. It’s truly—well, revolutionary. And we’re calling the Autonomous Database. Try Autonomous Transaction Processing—Sign up for the trial Today we’re here to break it down for you, tell you what it is, and why we think you should care. Why a Self-Driving Database Is the Future It’s not just a revolution in databases that’s happening right now. We’re seeing the rise of the cloud, an explosion of data, and true promise for valuable machine learning. Everywhere you turn, you face challenges to the old way of doing things—and dazzling potential for the future. Here’s what most companies are trying to do: Transform to the modern cloud model Ensure data safety And do more with less At Oracle, we argue that we’re uniquely positioned to help you through these challenges with our new kind of database, and here’s why. Oracle has invested literally thousands of engineering years automating and optimizing the database. We’ve introduced and matured many sophisticated automation capabilities from memory management to workload monitoring and tuning—all of which are used in the Autonomous Database. We’ve arguably created an unmatched on-premise database, and that’s precisely what puts us in a unique position as we seek to create the cloud’s best database to help you with all of your new goals.   Here’s our dream: an autonomous, self-driving database that will automatically take care of all database and infrastructure management, as well as monitoring and tuning. In our vision for the future, this Autonomous Database will: Reduce costs and improve productivity because it automates the mundane tasks of having to provision, patch, and backup databases Free up IT teams to focus on tasks that will bring value to the business Be self-securing to protect itself from both external attacks and any malicious internal users Automatically encrypt all data whether it’s at rest or in flight and automatically apply security updates with no downtime Be self-repairing, and automatically recover from any failure Minimize all kinds of downtime including plan maintenance Wait a minute though—that’s not a vision for the future. It’s what’s happening now. Today, we’re announcing the launch of Autonomous Transaction Processing Cloud Service, which together with the Autonomous Data Warehouse that we released earlier this year, completely changes the way people look at and use a database. We call this, “The Last Upgrade You’ll Ever Do.” We are so proud of this. The Autonomous Database is the culmination of that database journey we started over 40 years ago. It brings full automation to every layer of database deployment, from optimization to operations to infrastructure. In both Autonomous Transaction Processing and the Autonomous Data Warehouse, autonomous intelligence drives infrastructure and database operations for you, while also providing the ability to automatically tune internal database structures to optimize your application workload’s SQL as data changes over time. We’ve made it easy, so easy. You can create a highly available, mission-critical database deployment with the click of a button. Define your application schemas, load data using familiar tools, and get started processing your business transactions while leaving the mundane, time-consuming database operations to us. The Autonomous Database—Optimized by Workload Right now, there are two workloads we’ve optimized for the Autonomous Database. Of course we don’t plan to stop here. But here’s what we have that’s currently available, ready for you to purchase. Autonomous Transaction Processing is what we’ve launched today, and we’ve been waiting to show it to you.  It’s a database solution we created for general purpose transaction processing and mixed workload applications. Think of it as your database solution for transaction, batch, IoT, and reporting associated with those use cases. We released the Autonomous Data Warehouse back in March. ADW is best for all analytic workloads. Think of it as your replacement for a data warehouse, data mart or data lake. It’s great for machine learning too. Both Autonomous Transaction Processing and Autonomous Data Warehouse share the Autonomous Database platform of Oracle Database 18c on our Exadata Cloud infrastructure. The difference is how the services have been optimized within the database. Here’s the breakdown: How Can You Deploy the Autonomous Database? So you know which flavor of the Autonomous Database you want. Or perhaps you know you want both. When it comes to deployment, you can choose between serverless Autonomous Data Warehouse or Autonomous Transaction Processing databases. Or, very soon, you’ll be able to deploy on dedicated Exadata Cloud Infrastructure for the highest isolation. The complete hardware stack is isolated from other tenants and will provide a unique, fully isolated cloud within the public cloud. For those who are a fan of Cloud at Customer, don’t worry. We plan to provide this option very soon. Why Should You Want the Autonomous Database? We could talk about the benefits of the Autonomous Database endlessly—and we will, in a future article. But here are the top benefits, boiled down as succinctly as we could make it. The Autonomous Database enables: More IT innovation for less money More developer Innovation for less Fewer security breaches High availability due to built-in redundancy Easy upgrade to cloud Guaranteed lower cost But don’t just take our word for it: Don’t forget to take a look at our reviews on Gartner Peer Insights: “We have also started with the Oracle Autonomous Data Warehouse Cloud and that was exceptionally impressive from start to finish - very easy to use - uploading of data easy and fast and the compression reduced the amount of storage needed 4 times.” See the full review. The people who are using Autonomous Database every day, the ones who are able to see how thoroughly it streamlines their work, are already talking about it and what they’re saying is good. How to Get Started With the Autonomous Database We can’t wait to show you the Autonomous Database too. And that’s why we’ve put together a free trial experience, so you can see if the Autonomous Database is truly as much of a gamechanger as we say. (Hint: It is) Here’s what we’re giving you: 3338 hours, 2 TB of Exadata storage—what are you waiting for? You’ll be able to: Provision an Autonomous Transaction Processing or Autonomous Data Warehouse instance Connect SQL Developer to the new database instance Load data files if needed and go! You have nothing to lose, right? Experience a new kind of database with Oracle’s Autonomous Database. Sign up today. 

We’re living in a new age of the database. Oracle sparked the first revolution, with the relational database. Now we’re back again with the second revolution. It’s truly—well, revolutionary. And we’re...

Autonomous Database

Why Oracle Thinks Autonomous Technology Can Ultimately Win the Cloud War

By Paul Way  SENIOR PRINCIPLE MARKETING DIRECTOR, CLOUD PLATFORM Cloud providers today spend a lot of time rattling off key differentiators for their platforms, each jostling to sway buyers in a market that experts believe will reach $266 billion in revenue by 2021 (IDC, Worldwide Semiannual Public Cloud Services Spending Guide, July 2017). For the most part, cloud providers frequently tout performance and cost advantages—certainly two top-of-mind factors in the decision-making process for most buyers. Unfortunately, providers have now flooded the market with a dizzying stream of benchmarks and comparisons, burying decision makers with piles of often conflicting and confusing apples-to-oranges data that provides no clear picture of just how the various platforms actually stack up. More recently, discussions around differentiation have shifted, with providers hyping their talents in a spate of new, emerging cloud technologies—such as artificial intelligence and machine learning—that some claim could fundamentally alter how companies interact with technology, resulting in lower costs, productivity increases, and tighter security. Early reviews, however, suggest that many providers haven’t yet developed the expertise or the vision to deliver any tangible, meaningful results. Off in Redwood City, CA, however, Larry Ellison, Oracle executive chairman, CTO, and one of Silicon Valley’s first and arguably most enduring visionaries, is methodically building a new conversation around what his company sees as perhaps the most important development in cloud computing today—autonomous technology. While the concept incorporates each of the aforementioned differentiators (speed, cost, emerging technologies), Ellison sees the concept of autonomy as much more than the sum of those parts. For Oracle, it represents the merging of several critical cloud advancements into an entirely new level of efficiency that finally attaches tangible—perhaps revolutionary—definition to the oft-used but mostly misunderstood notion of “digital transformation.” Defining Autonomy Similar to the concept of the autonomous car, Oracle believes big portions of the IT organization will ultimately run themselves. Unlike the automotive industry, though, where manufacturers like Tesla envision building cars without steering wheels, IT organizations will likely never operate completely on their own. Recent developments in its product portfolio reveal that, like autonomous vehicles, Oracle ultimately imagines several levels of autonomy for IT, similar to the National Highway Traffic Safety Administration's (NHTSA) levels of autonomous driving. How Oracle Views Autonomy For Oracle, the autonomous enterprise goes beyond automation, in which machines respond to an action with an automated reaction. In an automated enterprise, certain tasks become automated, but the full process still requires humans to complete it. Think of cars that can automatically change lanes but still require drivers to get to the final destination. Artificial intelligence and machine learning often make automated tasks possible. Combining multiple automated tasks can lead to semi-autonomous technology, but true autonomy occurs when humans become removed from the process. That’s exactly where Ellison’s grand vision is headed—in a way only his company can execute. Oracle has arguably the widest and deepest portfolio of products across SaaS, PaaS, and IaaS, and it’s now beginning to embed AI and machine learning throughout. This competitive advantage allows Oracle to extend automation across more and more functions and technologies throughout the enterprise, resulting in semi-autonomous—and now almost completely autonomous—products and processes that require little or no human intervention.                  Amid a backdrop of increasing security breaches, numerous high-profile outages, and the subsequent damages to both revenue and brand reputation (Hi, Equifax!), Oracle’s autonomous vision couldn’t come to fruition at a more opportune moment. For Oracle, this emerging focus on autonomous products and the autonomous enterprise isn’t a marketing campaign. In fact, in many ways, it’s the payoff on a bet the company began placing a decade ago and that ultimately pulls together many of the pieces it’s quietly built (and bought) in recent years to make it a serious player in the cloud space. Building the Pieces While some providers grabbed early headlines by launching cloud infrastructure businesses, largely around compute and storage, Oracle quietly began its cloud journey a decade ago by rewriting its entire on-premises software portfolio for the cloud a decade ago. It was a significant, albeit often overlooked, strategic move for Oracle, considering that Ellison has insisted for years that the company that rules the SaaS market (and particularly ERP) will ultimately win the battle for cloud supremacy. Oracle hammered that point home with several important acquisitions in the space (Siebel, PeopleSoft, and, more recently, NetSuite), and now owns leadership positions in a wide range of SaaS categories. Ellison quickly moved to replicate his SaaS success in the emerging market for PaaS products, including cloud databases, the category that launched his company 40 years ago and that Oracle continues to dominate in overwhelming fashion. PaaS is critical as the cloud market unfolds, with many analysts noting the category stands to see the most significant increase in spending in all of cloud in the coming years. For its part, Oracle has established beachheads in several other key PaaS markets beyond database, including analytics, integration, mobility, security, and systems management. More recently, at OpenWorld 2017, the company launched its second-generation IaaS portfolio with cost and speed comparisons that shocked both audiences and competitors. From Pieces to a Vision The slow, methodical burn of Ellison’s strategy was initially viewed by some as an unwillingness to commit to the cloud. But with each innovation the company has unveiled recently, it’s increasingly apparent that Ellison’s insistence that he’d been following a carefully plotted strategy all along (as he’s so masterfully done throughout his career) rings true after all. The strategy has put Oracle in an enviable competitive position. Providers that began offering low-cost infrastructure in the cloud, such as AWS, initially grabbed headlines and market share, but they’ve largely ignored other key layers of the full cloud stack, notably SaaS and PaaS. In much the same way, providers who similarly made waves by launching SaaS offerings (Salesforce, Workday) now find themselves out of the conversation for PaaS and IaaS. Meanwhile, Ellison and Oracle managed to build dominant positions and deep technical expertise throughout SaaS, PaaS, and IaaS, with integrations between layers that deliver cost and efficiency benefits their competitors simply can’t. It’s hardly surprising then that, while Oracle currently holds relatively modest overall cloud market share, its competitors have clearly taken notice by increasing their attacks in an attempt to quell the threat.                        With its new focus on autonomy, Oracle appears to be flexing its muscles even further by combining its unique competitive differentiators with what’s become one of the company’s most important initiatives in years—establishing its dominance in a portfolio of emerging technologies that includes machine learning, IoT, blockchain, human interface, and more. Many believe these new technologies could completely redesign how people work and live. Ellison and company have embedded not only automation into each layer but have now begun delivering levels of autonomy within their products that other providers are in no position to match. Oracle’s push to autonomy began in late 2016 when the company announced it was developing “adaptive intelligence” applications. The first adaptive intelligence app, for CX, launched in 2017, allowing companies to combine their own data with Oracle’s extensive third-party Data Cloud (itself a big competitive differentiator) then apply the company’s decision science and machine learning technologies to optimize outcomes. Later that year, Oracle launched similar adaptive intelligence capabilities for ERP, HCM, and SCM apps. The Autonomous Database More recently, though, Oracle kicked things into high gear when it introduced an entirely new category of database technology—the product that launched the company 40 years ago and continues to have dominant market share across the globe. The new database category, dubbed autonomous databases, was announced in late 2017 with the first product launch (an autonomous data warehouse cloud service) rolling out in the spring of 2018, offering strong indications of just how dramatically Oracle hopes to redefine the relationship between companies and their systems. Oracle’s autonomous data warehouse cloud represents a radical shift in how cloud databases are run and maintained—not to mention how much they cost. For all intents and purposes, the database runs itself, automatically and continuously patching, tuning, backing up, and upgrading on its own with virtually no downtime (Oracle says downtime will be less than 2.5 minutes per month). And with little human intervention, the product virtually eliminates human error, with dramatic implications for not only security breaches and outages, but costs as well. At Oracle’s last OpenWorld conference in October 2017, Ellison ran live workloads comparing Oracle’s database on its own cloud and AWS, versus AWS databases on its own cloud. Oracle’s speed and cost advantage proved so dramatic that the company now guarantees customers running its database on Oracle Cloud will halve their current AWS bills. Beyond the Database But Oracle’s plans go much further. Oracle views autonomy as a means of delivering on what it believes will be the ultimate competitive advantage. Steve Daheb, senior vice president of Oracle’s Cloud Business Group, says: “Keep in mind that developments in cloud technologies are still in the early stages. The majority of enterprise workloads aren’t yet in the public cloud. To this point, companies have largely adopted cloud as a way to reduce costs, which is always important. But as the market develops, we don’t think buying decisions will come down to just that. Very quickly, it’ll be a matter of trust. Who can I trust to support my whole environment, not just their own apps or infrastructure? Who can I trust to make these pieces interact seamlessly? Who’s going to keep us secure? Autonomous technology does all those things and more.” Daheb added the stakes couldn’t be higher: “If you get that decision wrong, you could be bankrupt. It’s that serious.” In the near term, Oracle has announced plans to launch other autonomous services, including Autonomous Database Express Cloud Service and Autonomous NoSQL Database Cloud Service. Building the kind of autonomy Oracle envisions isn’t simple. It requires a skillset, a level of expertise, and a vision that few—if any—cloud providers have. Oracle’s competitors can certainly build automation into their products—and many already do. But with glaring gaps in their cloud portfolios, they can’t build—and likely can’t execute—a vision as grand as Oracle’s, where automation fuels autonomy across multiple integrated layers throughout a company’s IT operations. At a company the size of Oracle, pulling off the kind of long-game strategy required to get to this stage may well end up being one of the company’s most remarkable achievements. Like chess moves, Oracle’s pieces have come together to suggest an ambitious blueprint for how the company can lead a new era of cloud computing. Just as Larry Ellison planned all along. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

By Paul Way  SENIOR PRINCIPLE MARKETING DIRECTOR, CLOUD PLATFORM Cloud providers today spend a lot of time rattling off key differentiators for their platforms, each jostling to sway buyers in a market...

Autonomous Database

Getting Started with Autonomous Database Security

Automatic encryption and patching are a solid beginning to the cloud database security journey. By Tom Haunert “Data is your most critical asset, but could become your biggest liability if not properly secured,” says Vipin Samar, senior vice president of Oracle Database Security, in the video Security for the Autonomous Warehouse Database Cloud. At what point is data properly secured? Oracle Magazine sat down with Samar to talk about data assets and liabilities, appropriate security for databases in the cloud, and more. Oracle Magazine: How is the cloud changing the database security conversation? Samar: When organizations make the decision to move to the cloud, their first questions are often about security. Is the cloud secure? Can they limit Oracle administrator access to their data in the cloud? Can they meet their compliance requirements in the cloud? These are typically the top three questions I hear. Oracle Magazine: Oracle Database Cloud services all run with their data encrypted. Is that enough to keep data safe in the cloud? Samar: We use encryption by default in Oracle Database Cloud services so that hackers do not get access to the raw data. Encryption closes one particular part of the attack surface—where the hacker gets access to data blocks directly. But hackers can try many other techniques withoutaccess to the data blocks. Hackers can impersonate users, they can steal an end user’s password, or they can exploit weaknesses in database applications. And they can do more—it’s a long list. So encryption is one necessary tool, but it doesn’t address all possible security risks. Oracle Magazine: How can organizations determine whether their databases are secure? Samar: Many organizations don’t really know how secure their databases are, where their sensitive data is located, or how much data they have. Oracle recently released the Oracle Database Security Assessment Tool feature of Oracle Database, which lets organizations answer these questions. The tool looks at various security configuration parameters, identifies gaps, and discovers missing security patches. It checks whether security measures such as encryption, auditing, and access control are deployed, and how those controls compare against best practices. We take care of the security of the infrastructure including the database, and we automate it—leaving nothing to chance or human error.” Additionally, it helps them discover where their sensitive data is located and how much data they have. Oracle Database Security Assessment Tool searches database metadata for more than 50 types of sensitive data including personally identifiable information, job data, health data, financial data, and information technology data. This helps businesses to understand the security risks for that data. It also highlights findings and provides recommendations to assist with regulatory compliance. The findings and recommendations support both the European Union General Data Protection Regulation (EU GDPR) and the Center for Internet Security (CIS) benchmark. Oracle Magazine: Oracle Autonomous Data Warehouse Cloud is described as the world’s first self-securing database cloud service. What does self-securing mean for this service? Samar: Self-securing starts with the security of the Oracle Cloud infrastructure and database service. Security patches are automatically applied every quarter or as needed, narrowing the window of vulnerability. Patching includes the full stack: firmware, operating system [OS], clusterware, and database. There are no steps required from the customer side. We take care of the security of the infrastructure including the database, and we automate it—leaving nothing to chance or human error. Next, we encrypt customer data everywhere: in motion, at rest, and in backups. The encryption keys are managed automatically, without requiring any customer intervention. And encryption cannot be turned off. Administrator activity on Oracle Autonomous Data Warehouse Cloud is logged centrally and monitored for any abnormal activities. We have enabled database auditing using predefined policies so that customers can view logs for any abnormal access. Oracle Magazine: What’s needed to protect other attack surfaces? Samar: Securing databases in the cloud is a shared responsibility, with Oracle securing the infrastructure and network; monitoring the OS and network activity; applying OS and database patches and upgrades; and providing encryption, appropriate separation of duties, and various certifications. The customer organization still needs to secure its applications, users, and data. It needs to ensure that its applications can thwart attacks targeted at the company, that its users follow security best practices, and that its sensitive data is protected using appropriate controls. In some sense, these requirements are no different from those for an organization’s current on-premises databases, except that Oracle has already handled the security infrastructure part. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Automatic encryption and patching are a solid beginning to the cloud database security journey. By Tom Haunert “Data is your most critical asset, but could become your biggest liability if not properly...

Database

What Real Database Developers Are Doing With Blockchain, PWA, Docker, And Voice

This article originally appeared on Forbes Oracle Voice http://ora.cl/c8jM2 In the ever-evolving digital economy, fortune favors the curious. It also favors those who know how to make good use of data—the black gold of digital business. “It’s a great time to be a database developer,” says Jorge Rimblas, a database developer who spoke at the recent ODTUG Kscope technology conference in Orlando, Florida. “But you have to keep learning” to stay on top. Rimblas, a specialist in Oracle APEX, a popular tool for developing web apps in the Oracle Database, recalls his early years learning to write efficient SQL queries and wrapping his mind around large data models. Today, he’s polishing his abilities with REST services, plumbing JavaScript libraries, and sharing projects on GitHub. “I want to find technologies that challenge me, and help me share the data with more people,” he says. Below, Rimblas and four fellow database developers talk about the technologies that are changing how they think about managing data, including blockchain, a new mobile development model called Progressive Web Applications, Docker, and voice assistants. Put Blockchain to Work When Adrian Png saw a tea company’s stock soar by simply adding “blockchain” to its name, he figured the hype had peaked and it was time to dig in and see what the technology had to offer a database developer. Oracle Cloud Platform trial: Get 3,500 hours for free “As a programmer you don’t just sit comfortable with what you’re doing. You’ve got to look out there to see what’s coming and get yourself ready,” says Png, who chronicles his explorations in his blog Thinking Anew. As the former database manager for the British Columbia BioLibrary, Png built a bio library proof-of-concept using the open-source Hyperledger’s private blockchain products and Oracle APEX. The "library" holds tissue samples from patients with conditions such as cancer for researchers to study. Any use requires consent from the patient. Because blockchain gives him a transparent, verifiable, and tamper-proof place to store information, he thought it could work for managing institutional access to data. “As the custodian of patient data, the library stores patients' data securely in an Oracle Database, Oracle APEX provides the front end and says who I am,” he says, “and then Blockchain decides what I can see.” With just this first taste of blockchain, Png, who’s now with APEX innovators, Insum Solutions, already is thinking differently about designing applications. “When you design a database application, you’re always thinking about securing your data and keeping it private,” he says. But when you build on top of a blockchain service, “you’re writing an application that’s designed to make data transparent and immutable on the blockchain.” He adds, “I wanted to see how blockchain and Oracle APEX gel,” and that went well. Build Progressive Web Apps This was Vincent Morneau’s fourth year at the ODTUG Kscope conference and, he admits, it’s the fourth year he submitted an abstract to teach fellow developers about a cutting-edge technology he knew nothing about. “It forces me to become an expert before I have to present it in front of an audience,” Morneau says. This year, Morneau spoke on Progressive Web Apps, which allow a web application on a smartphone to deliver a user experience that’s much more like a native app, but without the download barrier that limits native app adoption. “People prefer using apps on their phone rather than web apps on the browser,” he says. “And a home screen icon just makes the app more accessible, it works when it’s offline, and it can also push notifications out to users.” Morneau used Oracle APEX to build and show an app that runs in a browser and will also install on his Android phone. Progressive Web Apps open up a lot of possibilities for developers “because we’re not just building Web apps anymore,” he says. “We’re building apps” that are no longer differentiated from native mobile apps. The data experts in Morneau’s session had tough questions about how his app cached and moved data from the Oracle Database but otherwise seemed convinced that he was onto something important. Join the Docker Faithful When Martin D’Souza talks to fellow technologists about application development, he often explains his conversion to using Docker: “Once I saw the light on Docker containers, I realized how wrong I had been in my previous development process.” Docker allows D’Souza to create a container for a resource he needs to build an app, such as a specific version of Java or Oracle Rest Data Services. Then he can simply point his data to the container. “If the app I’m working on needs a different version of ORDS, I don’t have to install that version on a virtual machine and make sure all the dependencies are installed correctly, I just have to point my app at another container with the right version of ORDS,” he says. Or, when he’s working with another developer who’s on a different laptop, he can simply send him or her the Docker container and they can begin collaborating. “It has sped things up in so many ways,” says D’Souza. “There’s a whole Docker community out there and I say, ‘I want to do X’ and someone out there has already built it and I download it and I’m up and running.” Bring Voice to Enterprise Apps Can voice assistants make interacting with enterprise data easier, and even fun? Jorge Rimblas says yes. He connected Alexa to his company’s timekeeping and billing application built in Oracle APEX. “Now I can tell Alexa to pull up a job in my APEX app and add hours. Or tell her I’m done for the day and she’ll say, 'Yay,'” Rimblas says of the proof-of-concept he built for his company. Rimblas likes that Alexa’s markup adds voice inflection to her responses. “It’s sort of like HTML,” he says, and it allows him to add personality and wit to exchanges with his applications. But “it took a lot of testing and debugging” before Alexa would return the answers or take the actions he wanted, he warns. “You’re in the logs of the Oracle side to see if you reached the information and on the Amazon side to see why she’s not hearing it.” The investment in learning to integrate with voice assistant is worth is, says fellow database developer Christoph Ruepprich. “There are a gazillion things you can do with a voice assistant,” he says. “It can call up a screen, read back some results, or trigger actions in the application.” It is, he says, a perfect approach for situations where people have their hands busy. “If someone is working for an airline and they’re working on an airplane and they need a part, they can say 'Hey Alexa, do we have this part in stock? Can I have it brought out to me on the shop floor?'” he says. “Or show me the schematics for this or that.” The growing interest in voice interfaces is also fueling interest in chatbots. Intelligent bot capability in Oracle Mobile Cloud Service, for example, provide prebuilt interfaces to voice platforms such as Google Home and Alexa and to messaging platforms such as Facebook Messenger and WeChat. Ruepprich agrees that his database skills are a great starting point for working with voice assistants. “Because that’s where your bottlenecks are,” he says. “If you don’t write efficient SQL then your great voice app isn’t going to work as well as you want.” Jeff Erickson is an editor-at-large for Oracle.   Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/      

This article originally appeared on Forbes Oracle Voice http://ora.cl/c8jM2 In the ever-evolving digital economy, fortune favors the curious. It also favors those who know how to make good use...

What An Autonomous Database Means To Me: 5 Expert Views

This article originally appeared on Forbes on Oracle Voice. http://ora.cl/xt3IY Larry Ellison, Oracle’s cofounder, executive chairman, and chief technology officer, has said Oracle’s new autonomous database ranks among “the most important things we’ve ever done.” That’s because it deploys, optimizes, patches, and secures itself with no human intervention, bringing new levels of performance, security, and efficiency. So how is this autonomous database playing in the real world? Oracle Autonomous Data Warehouse Cloud Service has been available since March. I talked with five database users at this year’s Collaborate 18about their reaction to the technology and where they see this broader autonomous computing push going: Jim Czuprynski: What Do You Need DBAs For Now? After plying the trade as a database administrator for 20 years, Jim Czuprynski considers himself a DBA’s DBA. “I know the daily stresses and joys of being a DBA,” he says. So Czuprynski, an enterprise architect at Vion Corporation, and a technology blogger, admits that when he first encountered autonomous database technology, his knee-jerk reaction was to ask, “If a computer can do what I can do, then what do you need me for?” he says. It didn’t take him long to change his tune. “Oracle is simply taking what they’ve been telling us for years are best practices and having the machines just do it,” he says. The autonomous machines “never get tired and can watch everything all at once.” For example, he says, “the machines are going to watch your database perform against its application workload over time and then it’s going to react to it, subtly, with machine learning,” to tune and better secure the database. “Why wouldn’t I go for that?” he now asks. “Why wouldn’t I want to just turn that over to something that’s smarter than me?” That still leaves plenty for Czuprynski to do. “It doesn’t mean I don’t have to think out the data model, it doesn’t mean I don’t have to write better application code against the database” to make the applications faster or more reliable, he says. In the end, autonomous database technology is about giving time back to data experts to do more important work. “You’re going to have a lot more time to spend with developers and with the people that are running the business,” Czuprynski concludes. And that, he says, is a good thing for a DBAs career. Nitin Vengurlekar: Autonomous Is About Business Agility  Nitin Vengurlekar is CTO at a firm that helps his clients get the most out of their data. “To me, autonomous database equates to a faster speed of business,” he says. Vengurlekar likes cloud services in general because they provide infrastructure on demand, “so I don’t have to wait weeks or months for technicians to set up the environment,” he says. Autonomous database technology turns that speed up a notch higher, by taking the database tuning and management off his plate while giving him the three things he really wants in technology for his business: “I want it easy, fast, and elastic,” he says. Vengurlekar gets easy and fast with the Oracle Autonomous Data Warehouse Cloud Service (ADW) because he can “work with data right away without having to assign DBAs to make sure it’s set up,” he says. “And I want to grow and shrink the data warehouse based on what my needs are,” whether that’s end of the year or month, or different holiday seasons, he says “the ADW does that also really well.” For speed, Vengurlekar did his own benchmarks to understand how Oracle Autonomous Data Warehouse compares to other cloud-based data warehouses: “How many queries can I run in an hour? If I have to pay for the service for an hour, how much can I churn through with it?” He found that Oracle delivers on its claim to deliver queries many times faster than other data warehouses he tried. The speed means, “I can do faster analytics on diverse data sets and have power for things like faster visual analytics and predictive pattern management,” he says. Russ Lowenthal: Patching Is the Killer App An autonomous database is worth it for patching alone, says Russ Lowenthal, a director of database security at Oracle who hears from many database users on the subject. “If I’m a CIO, my number one concern is that a data breach like those in the news lately will happen at my company. That means I’ve got a system out there, and it’s got a known vulnerability and a patch exists for it, but I haven’t applied the patch to it yet,” he says. “That’s my nightmare.” An autonomous database from Oracle patches itself as soon as a vulnerability is detected and a patch is ready, without taking the system offline. “That immediately takes a huge burden off of the shoulders of CIOs and DBAs,” says Lowenthal.   Patching is hard. To make the case, Lowenthal gives an extreme—but very real—example: “I’ve got one customer with 17,000 Oracle databases. We release patches four times a year. If they patch each database four times per year and each patch takes an hour to apply, that’s 35 full-time workers doing nothing but patching.” What CIO wouldn’t want to put those thirty-five people “on cool stuff like data engineering or data mining and other valuable, business-centric functions?” Shrinking the human touch points and thus human hours needed for manual tasks like patching goes a long way toward improving security and reducing error. Plus, he adds, “I don’t know any DBA who enjoys patching.” Michelle Malcher: Security Functions Deployed Without Effort Michelle Malcher agrees that patching is a “killer app” of autonomous databases but says there’s a lot more to the security story. Another benefit is that services like the Oracle Autonomous Database and Data Warehouse Service run all available security features of the database by default. “And because there are no humans involved, you avoid exploitable mistakes in the setup,” says Malcher, a data security architect at Extreme Scale Solutions. Having database options like encryption, secure backups, and database vault turned on automatically is a great start to a more secure environment, Malcher says. The security posture is further improved by managing the database with log monitoring and machine learning in Oracle Cloud. Once you deploy your database in a secure configuration, the system monitors any changes from the initial install. “It will look for data moves that are at strange times or users that are changing permissions and it will note those,” she says. If it alerts a false positive, for example, learns that behavior as normal. “It learns patterns of behavior over time.” Dan Vlamis: I Want More Autonomous Technology Once Dan Vlamis spent time working with Oracle Autonomous Data Warehouse Cloud, he began asking himself why more of his technology isn’t autonomous. Vlamis’s firm helps companies see into their corporate data by building business intelligence dashboards that are easy on the eyes and tell a good story. “We found that we could load the client records very quickly and do the analysis without building indexes or partitioning the data or worrying about performance,” Vlamis says of using the autonomous data warehouse cloud service. “That got me excited about other ways my technology could step in and take over mundane tasks,” he says.  For example, he says “when we build a dashboard, we have to figure out what color palette and how many colors we want to use.” He’d like a future autonomous system to figure out what to do by looking at the types of measures and key performance indicators he’s after. “It would know that I need a divergent color scheme or a qualitative color scheme and just say ‘here, I’ll just do it for you,’” he says. Now that he’s used an autonomous cloud service, he’s hooked: “I love anything that frees me up to do other things in my business.” Jeff Erickson is editor-at-large for Oracle.  

This article originally appeared on Forbes on Oracle Voice. http://ora.cl/xt3IY Larry Ellison, Oracle’s cofounder, executive chairman, and chief technology officer, has said Oracle’s new autonomous...

Top 5 Industry Early Adopters of Autonomous Systems

BY MONICA MEHTA Automation has already transformed industries in which complexity and performance demands must meet the challenges of scarcer resources, narrower profit margins and expanding product volumes. Now the state of the art is beginning to move to autonomous technologies: driverless vehicles, self-tuning databases, adaptive robots and the like. While automation involves programming a system to perform specific tasks, autonomous systems are programmed to perform automated tasks, accommodate for variation and self-correct or self-learn with little or no human intervention. Which industries are ahead of the autonomous curve? These five industries stand out. Information Technology In the IT industry, the pioneering product is Oracle’s Autonomous Data Warehouse Cloud, a cloud-based database that configures, optimizes and patches itself with minimal human intervention. Oracle Executive Chairman and CTO Larry Ellison says the machine learning technology that underpins the company’s autonomous data warehouse, as well as autonomous integration, developer, mobile and other platform services that will follow, is “as revolutionary as the internet.” Monica Kumar, vice president, Oracle Cloud Platform, explains why the company’s autonomous database will become so important across industries. “Data is doubling every two years and the way data is exploding presents both an opportunity and a challenge to organizations,” she says. “It could be a gold mine of information, and it could become hard to store, manage and effectively analyze large volumes and types of data in a timely manner.” Database administrators now spend almost 75 percent of their time maintaining systems instead of focusing on higher-level work, Kumar says. As data becomes even more complex and fragmented, she says, Oracle Autonomous Database will “automate the administrative tasks so DBAs and IT can now focus on getting insights from the data, architecting the applications and data, building security best practices and supporting their business users better.” Automotive The self-driving car is the most well-known autonomous machine, developed by early market leaders such as General Motors, Waymo, Ford and Volkswagen. Self-driving vehicles can navigate roadways as well as detect and respond to traffic signals, pedestrians, impediments and other vehicles, using a combination of techniques such as GPS, lasers and odometry. Related: Try Oracle Cloud applications and platform services for free A 2016 McKinsey report predicts that by 2030, as many as 15 percent of cars sold will be fully autonomous, up to 50 percent electrified and up to 10 percent shared (reducing sales of private-use vehicles). Those advances will lead to a new economy centered on mobility. Toyota is heralding that shift with its e-Palette, a concept vehicle whose interchangeable interiors allow it to be used for a variety of purposes, including taxi, delivery van, store, office and hotel room. Toyota’s Mobility Services Platform gathers traffic, route-preference and safety data, as well as analyzing usage trends to determine demand for specific services. “We are not offering the vehicles to people just as a moving tool, but as a way of user-friendly mobility that will greatly increase people’s freedom,” says Keiji Yamamoto, Executive Vice President, Connected Company, and Managing Officer at Toyota. The mobility economy will be about ecommerce, monetization and personalization—all of which need massive amounts of data storage, says Dave Schoonover, Oracle’s global director of automotive industry solutions. “Autonomous vehicles will end up generating hundreds of exabytes of data each year,” Schoonover says. “Companies need to consider where that data is going to go and how to extract value from it.” Manufacturing Robots that perform repetitive tasks have been on manufacturing lines for decades. Today’s robots can accommodate for variations and change their behavior based on pre-defined algorithms. Meanwhile, autonomous robots will transform supply chains, particularly ones with “lower-value, potentially dangerous or high-risk tasks,” as the technology becomes more accessible and reliable, according to a 2017 Deloitte report. For example, robots with haptic sensors can grasp objects as fragile as eggshells and assemble products with multi-surface parts. Facial recognition software will let robots judge from a person’s face whether or not they’re doing a job correctly. “But that’s just brushing the surface of their autonomous capabilities,” says Mike Saslavsky, Oracle senior director, high tech. Leading manufacturers are looking to invest in autonomous robots “to achieve end-to-end efficiency, productivity and risk reduction,” according to the Deloitte report. “When considering the level of automation to bring to your organization, it is important to define the optimal labor-to-automation mix to achieve desired benefits.” Retail While a robot won’t be checking you out at the drugstore anytime soon, autonomous systems already have a foothold in retail. At select Lowe’s stores, for example, “LoweBots” are helping customers find products and helping employees monitor inventory levels. Kroger, the biggest US supermarket chain, is testing “intelligent shelf” technology that digitally displays product and price information, simplifying a labor-intensive task. Such systems are semi-autonomous, requiring a degree of human intervention, notes Michael Forhez, Oracle global managing director, consumer markets. People still have to set the price changes and program the shelves to change accordingly. But with machine learning algorithms Oracle is developing, “it’s not beyond reason that these systems could someday autonomously trigger price and promotion differentiation without any human interaction whatsoever,” Forhez says. In the near future, he says, expect to see retail innovations that “anticipate our needs and deliver what we need before we even know we need it.” Healthcare Healthcare providers and their patients are seeing the benefits of semi-autonomous systems as well. For example, chatbots powered by artificial intelligence schedule appointments and provide relevant, easy-to-understand information about medical conditions. Sensors monitor patients remotely and electronically transmit collected information to health professionals. “The latest digital innovations are creating opportunities for reshaping how healthcare organizations deliver patient services, improve outcomes, enhance clinician satisfaction and manage costs more effectively,” says Michael Walker, global lead of Oracle’s Healthcare & Life Sciences unit. The Business of Disruption Widespread adoption of autonomous systems is only now becoming possible because of recent advances in artificial intelligence (AI).“For a long time, people looked at the promise of AI, but it never quite delivered to its promise until very recently,” Ellison says. “With the advent of the latest generation of AI—neural networks combined with machine learning—we are doing things with computers that hitherto were considered unimaginable.” For companies in the industries cited above, it’s now just a matter of when they will adopt AI and autonomous systems, not if. “If you are not in the business of disruption, you can bet someone’s got their sights on your business and that you will be disrupted,” Oracle’s Forhez says. “You’re going to have to sharpen your focus and do things quickly, because the breadth of experimentation in the field of autonomous technology is already breathtaking.” This article originally appeared on the Oracle Insights blog on WSJ.com. WSJ. Custom Studios is a unit of The Wall Street Journal advertising department. The Wall Street Journal news organization was not involved in the creation of this content.    

BY MONICA MEHTA Automation has already transformed industries in which complexity and performance demands must meet the challenges of scarcer resources, narrower profit margins and expanding...

Announcing Oracle APEX 18.1

Today we have guest blogger - Joel Kallman - Senior Director, Software Development Oracle Application Express (APEX) 18.1 is now generally available! APEX enables you to develop, design and deploy beautiful, responsive, data-driven desktop and mobile applications using only a browser. This release of APEX is a dramatic leap forward in both the ease of integration with remote data sources, and the easy inclusion of robust, high-quality application features. Keeping up with the rapidly changing industry, APEX now makes it easier than ever to build attractive and scalable applications which integrate data from anywhere - within your Oracle database, from a remote Oracle database, or from any REST Service, all with no coding.  And the new APEX 18.1 enables you to quickly add higher-level features which are common to many applications - delivering a rich and powerful end-user experience without writing a line of code. "Over a half million developers are building Oracle Database applications today using  Oracle Application Express (APEX).  Oracle APEX is a low code, high productivity app dev tool which combines rich declarative UI components with SQL data access.  With the new 18.1 release, Oracle APEX can now integrate data from REST services with data from SQL queries.  This new functionality is eagerly awaited by the APEX developer community", said Andy Mendelsohn, Executive Vice President of Database Server Technologies at Oracle Corporation. Some of the major improvements to Oracle Application Express 18.1 include: Application Features It has always been easy to add components to an APEX application - a chart, a form, a report.  But in APEX 18.1, you now have the ability to add higher-level application features to your app, including access control, feedback, activity reporting, email reporting, dynamic user interface selection, and more.  In addition to the existing reporting and data visualization components, you can now create an application with a "cards" report interface, a dashboard, and a timeline report.  The result?  An easily-created powerful and rich application, all without writing a single line of code. REST Enabled SQL Support Oracle REST Data Services (ORDS) REST-Enabled SQL Services enables the execution of SQL in remote Oracle Databases, over HTTP and REST.  You can POST SQL statements to the service, and the service then runs the SQL statements against Oracle database and returns the result to the client in a JSON format.   In APEX 18.1, you can build charts, reports, calendars, trees and even invoke processes against Oracle REST Data Services (ORDS)-provided REST Enabled SQL Services.  No longer is a database link necessary to include data from remote database objects in your APEX application - it can all be done seamlessly via REST Enabled SQL. Web Source Modules APEX now offers the ability to declaratively access data services from a variety of REST endpoints, including ordinary REST data feeds, REST Services from Oracle REST Data Services, and Oracle Cloud Applications REST Services.  In addition to supporting smart caching rules for remote REST data, APEX also offers the unique ability to directly manipulate the results of REST data sources using industry standard SQL. REST Workshop APEX includes a completely rearchitected REST Workshop, to assist in the creation of REST Services against your Oracle database objects.  The REST definitions are managed in a single repository, and the same definitions can be edited via the APEX REST Workshop, SQL Developer or via documented API's.  Users can exploit the data management skills they possess, such as writing SQL and PL/SQL to define RESTful API services for their database.   The new REST Workshop also includes the ability to generate Swagger documentation against your REST definitions, all with the click of a button. Application Builder Improvements In Oracle Application Express 18.1, wizards have been streamlined with smarter defaults and fewer steps, enabling developers to create components quicker than ever before.  There have also been a number of usability enhancements to Page Designer, including greater use of color and graphics on page elements, and "Sticky Filter" which is used to maintain a specific filter in the property editor.  These features are designed to enhance the overall developer experience and improve development productivity.  APEX Spotlight Search provides quick navigation and a unified search experience across the entire APEX interface. Social Authentication APEX 18.1 introduces a new native authentication scheme, Social Sign-In.  Developers can now easily create APEX applications which can use Oracle Identity Cloud Service, Google, Facebook, generic OpenID Connect and generic OAuth2 as the authentication method, all with no coding. Charts The data visualization engine of Oracle Application Express powered by Oracle JET(JavaScript Extension Toolkit), a modular open source toolkit based on modern JavaScript, CSS3 and HTML5 design and development principles.  The charts in APEX are fully HTML5 capable and work on any modern browser, regardless of platform, or screen size.  These charts provide numerous ways to visualize a data set, including bar, line, area, range, combination, scatter, bubble, polar, radar, pie, funnel, and stock charts.  APEX 18.1 features an upgraded Oracle JET 4.2 engine with updated charts and API's.  There are also new chart types including Gantt, Box-Plot and Pyramid, and better support for multi-series, sparse data sets. Mobile UI APEX 18.1 introduce many new UI components to assist in the creation of mobile applications.  Three new component types, ListView, Column Toggle and Reflow Report, are now components which can be used natively with the Universal Theme and are commonly used in mobile applications.  Additional enhancements have been made to the APEX Universal Theme which are mobile-focused, namely, mobile page headers and footers which will remain consistently displayed on mobile devices, and floating item label templates, which optimize the information presented on a mobile screen.  Lastly, APEX 18.1 also includes declarative support for touch-based dynamic actions, tap and double tap, press, swipe, and pan, supporting the creation of rich and functional mobile applications. Font APEX Font APEX is a collection of over 1,000 high-quality icons, many specifically created for use in business applications.  Font APEX in APEX 18.1 includes a new set of high-resolution 32 x 32 icons which include much greater detail and the correctly-sized font will automatically be selected for you, based upon where it is used in your APEX application. Accessibility APEX 18.1 includes a collection of tests in the APEX Advisor which can be used to identify common accessibility issues in an APEX application, including missing headers and titles, and more. This release also deprecates the accessibility modes, as a separate mode is no longer necessary to be accessible. Upgrading If you're an existing Oracle APEX customer, upgrading to APEX 18.1 is as simple as installing the latest version.  The APEX engine will automatically be upgraded and your existing applications will look and run exactly as they did in the earlier versions of APEX.   "We believe that APEX-based PaaS solutions provide a complete platform for extending Oracle’s ERP Cloud. APEX 18.1 introduces two new features that make it a landmark release for our customers. REST Service Consumption gives us the ability to build APEX reports from REST services as if the data were in the local database. This makes embedding data from a REST service directly into an ERP Cloud page much simpler. REST enabled SQL allows us to incorporate data from any Cloud or on-premise Oracle database into our Applications. We can’t wait to introduce APEX 18.1 to our customers!", said Jon Dixon, co-founder of JMJ Cloud. Additional Information Application Express (APEX) is the low code rapid app dev platform which can run in any Oracle Database and is included with every Oracle Database Cloud Service.  APEX, combined with the Oracle Database, provides a fully integrated environment to build, deploy, maintain and monitor data-driven business applications that look great on mobile and desktop devices.  To learn more about Oracle Application Express, visit apex.oracle.com.  To learn more about Oracle Database Cloud, visit cloud.oracle.com/database.  Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/      

Today we have guest blogger - Joel Kallman - Senior Director, Software Development Oracle Application Express (APEX) 18.1 is now generally available! APEX enables you to develop, design and...

Forget the Turing Test—give AI the F. Scott Fitzgerald Test instead

Written by Paul Sonderegger -  Big data strategist, Oracle Scott Fitzgerald pinned human intelligence on its tolerance of paradox. But what kind of artificial intelligence could pass his test? In his 1936 essay “The Crack-Up,” Fitzgerald writes that “the test of a first-rate intelligence is the ability to hold two opposed ideas in the mind at the same time, and still retain the ability to function.” For example, he says you should “be able to see that things are hopeless and yet be determined to make them otherwise.” He confesses he’s lost this ability—and as a result, himself. Fitzgerald’s point is not that he needs a better model of the world, but that he needs many models and the freedom to switch among them. This is what allows us to forge ahead despite unexpected obstacles, conflicting priorities, or, in Fitzgerald’s case, hitting his forties and feeling like someone changed the rules of the game while he wasn’t looking. Fitzgerald, having lost his ability to balance opposing ideas, falls into a drab, routinized existence. Every moment, from his morning routine to dinner with friends, becomes a forced act. He mimics the life of a successful literary man without actually living it. Take a simple example. When a navigation app redirects stop-and-go traffic from the New Jersey Turnpike onto local roads in the town of Leonia, otherwise quiet neighborhoods become overrun with shortcut-seeking app-watchers. A compassionate human might weigh up the cost-benefit analysis of a shorter trip with the potential annoyance of hapless suburbanites. But a naïve AI, focused only on finding the fastest travel time, won’t. Local authorities are now plotting to fine non-residents caught driving through the area during rush-hour, even though they’re just following the directions on their smartphones. Read More Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Written by Paul Sonderegger -  Big data strategist, Oracle Scott Fitzgerald pinned human intelligence on its tolerance of paradox. But what kind of artificial intelligence could pass his test? In his...

Options for moving EBS, PeopleSoft applications to cloud – Conversation with Calix, Sherwin Williams and Astute

Today we have guest author - Navita Sood - Marketing Director, Cloud Business Group Once you have decided you want to move to cloud, the next step is deciding if you want to lift and shift your existing workloads to cloud or move to a SaaS application. You can also extend your application with SaaS and then use PaaS offerings to replicate your customizations in cloud. The choice depends on your environment, your business needs, external factors impacting your business, how much you want to invest and how much you are willing to disrupt. It’s important to do a thorough analysis to optimize your ROI. Also, it’s important you involve all the stakeholders in taking this decision because cloud impacts everyone from IT to business. Lastly, once you choose your path, it’s important you lay out a detailed execution plan with your vendor or implementation partner to make your move successful. Recently I moderated a panel discussion at Collaborate user group, where I invited three customers to talk about their unique paths to cloud and how they implemented them. It was interesting to see how different reasons influenced their choice and impacted their business outcomes. On the panel I had Ravi Gade, Sr. Director of Enterprise Applications in Calix, Vivek Puri, Manager – Database, Middleware & Engineered Systems at Sherwin Williams and Arvind, Chief Solution Architect at Astute Business Solutions. Calix moved their E-Business Suite workloads to SaaS, Sherwin Williams is lifting and shifting their E-Business Suite workloads to Oracle cloud @ customer and Astute moved their PeopleSoft application from AWS to Oracle cloud. Although the three are in different stages of their cloud journey, they have already started experiencing the benefits guaranteed by cloud. Calix was undergoing a major business transformation. They were moving from hardware business to software. They wanted a cloud solution that would support their transition. Although their applications were highly customized, they decided anything that wasn’t critical for their business they wouldn’t migrate that to cloud. Instead they preferred to standardize their applications for ease of maintenance. Hence, they opted to move to SaaS. Three things that helped them be successful in their journey were: Involving the business from day one Working with Oracle’s cloud business group in the transformation Leveraging Oracle’s cloud integration services to integrate their on premise and cloud applications Since their transition 2 years back, they have saved $2.5M per year with 40% ROI going from EBS to ERP cloud. These savings came from data center cost, application support cost and resources for application support. They rebuilt only a few critical customizations to their ERP cloud. They were up and running in cloud only in a few months and were able to break even in just 18 months. They saw their IT queue reduce from 500 tickets, 2 years ago to less than 20 tickets today. One of the questions from the audience was on job cuts as an outcome of moving to cloud. Ravi was very frank in pointing out that since 2 years back, when they embarked on the journey to cloud, no one in Calix had lost their job. In fact their roles became more prominent as Calix improved its productivity and introduced new revenue models. Calix saw its DBA’s transform into data architects who were now investing more time doing tasks they enjoyed. All their employees underwent training on new cloud services that have also made them more valuable in the market. Sherwin Williams, being more risk averse wanted to move to cloud very cautiously. They weren’t ready to move their applications and all their data to public cloud. They choose to migrate to Oracle cloud @ customer, to start their cloud journey when they were considering their upgrade. They started their move only 6 months back and were Oracle’s first Cloud @ customer users. In just 6 months they are seeing the following benefits: Cloud @ customer worked as a testing pad for them to start evaluating the benefits of cloud for their business. One of their biggest concerns was integration of on premises applications with the cloud, but the fact that everything was running homogeneously in no time helped all teams build more confidence in cloud. They had highly customized applications, with lots of engineered systems that they weren’t willing to part from. By doing a lift and shift they were able to move all those customizations as is to the cloud behind their own firewall without causing any disruptions or changes to the business processes They were able to future proof their business and move away from having to maintain those applications and underlying infrastructure. Financially, it is a very attractive proposition for them. They are using the same underlying hardware in the cloud, but now they only pay for 1/4th of the rack based on their requirements. In future they are evaluating to move their EBS HR to HCM cloud, so their peripheral applications will be on SaaS and other business critical applications will be on cloud @ customer for now, until they gain more confidence in moving everything to cloud. Astute on the other hand preferred lift and shift to minimize business disruptions and ensure the same experience for their business users, while still receiving all the benefits of Oracle cloud – around automation, performance, speed, agility and cost. They wanted to move away from the data center business 3-4 years back when they moved to AWS. Once Oracle cloud was available they were quick to migrate to Oracle cloud to run their Oracle applications on Oracle cloud. This enabled them to better serve their customers and provide the latest and greatest features available through PaaS and SaaS services. Rightsizing of their infrastructure helped them increase their utilization levels and save costs.  Currently they are exploring adding chatbots to their PeopleSoft application to improve the experience of their customers. There is no best approach to moving to cloud. Pick the most critical business problem you are facing today and see how cloud can solve it. Start your cloud journey from there and then build your custom path to cloud. All paths to cloud would lead to the same goal. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have guest author - Navita Sood - Marketing Director, Cloud Business Group Once you have decided you want to move to cloud, the next step is deciding if you want to lift and shift your...

Database

Threat Report: Companies Trust Cloud Security

Today we have guest blogger - Alan Zeichick -  principal analyst at Camden Associates. Is the cloud ready for sensitive data? You bet it is. Some 90% of businesses in a new survey say that at least half of their cloud-based data is indeed sensitive, the kind that cybercriminals would love to get their hands on. The migration to the cloud can’t come soon enough, as 66% of companies in the study say at least one cybersecurity incident has disrupted their operations within the past two years, and 80% say they’re concerned about the threat that cybercriminals pose to their data. The good news is that 62% of organizations consider the security of cloud-based enterprise applications to be better than the security of their on-premises applications, and another 21% consider it as good. The caveat: Companies must be proactive about their cloud-based data and can’t naively assume that “someone else” is taking care of that security. Those insights come from a brand-new threat report, the first ever jointly conducted by Oracle and KPMG. The “Oracle and KPMG Cloud Threat Report 2018,” to be released this month at the RSA Conference, fills a unique niche among the vast number of existing threat and security reports, including the well-respected Verizon Data Breach Investigations Report produced annually since 2008. The difference is the Cloud Threat Report’s emphasis on hybrid cloud, and on organizations lifting and shifting workloads and data into the cloud. “In the threat landscape, you have a wide variety of reports around infrastructure, threat analytics, malware, penetrations, data breaches, and patch management,” says one of the designers of the study, Greg Jensen, senior principal director of Oracle’s Cloud Security Business. “What’s missing is pulling this all together for the journey to the cloud.” Indeed, 87% of the 450 businesses surveyed say they have a cloud-first orientation. “That’s the kind of trust these organizations have in cloud-based technology,” Jensen says. Related: Try Oracle Cloud for free Here are data points that break that idea down into more detail: 20% of respondents to the survey say the cloud is much more secure than their on-premises environments; 42% say the cloud is somewhat more secure; and 21% say the cloud is equally secure. Only 21% think the cloud is less secure. 14% say that more than half of their data is in the cloud already, and 46% say that between a quarter and half of their data is in the cloud. That cloud-based data is increasingly “sensitive,” the survey respondents say. That data includes information collected from customer relationship management systems, personally identifiable information (PII), payment card data, legal documents, product designs, source code, and other types of intellectual property. Cyberattacks Reveal the Pace Gap Two-thirds of organizations in the study report some type of past interruption due to a security incident, such as losing the ability to provide service, diminished employee productivity, or delays to IT projects. Just more than half of the businesses say they’ve experienced a financial hit as a result, including a loss of shareholder value, the cost of data loss, or the costs of reputational damage. Oracle’s Jensen says there’s a growing realization of a “pace gap” between how fast organizations can create and/or deploy new business applications and how fast they can secure those applications to meet an organizations security and compliance target”. Security is lagging behind. This gap is exacerbated by agile application development methodologies. So should businesses slow down their deployment of new software? Jensen laughs at that suggestion. Instead, he calls for improving security training, processes, and technology. “A priority area that falls down is training the average end users, because they’re the most vulnerable point of attack, and some of the most successful attacks leverage social engineering, such as phishing,” Jensen says. When it comes to processes, companies must understand the security responsibility they share with their cloud providers. As the Oracle-KPMG study explains, the line of demarcation between what cloud vendors and customers are responsible for securing differs when it comes to software as a service, infrastructure as a service, and platform as a service. With IaaS, for example, service providers “are generally responsible for securing the physical infrastructure up to and including the virtualization layer with the customer, then responsible for protecting the server workload,” the report says. “However, regardless of consumption model—IaaS, PaaS, and SaaS—the customer is generally responsible for data security and user access and identity management.” Machine Learning and Automation Can Help Meantime, emerging technologies can help close the pace gap, by finding and addressing security issues in on-premises data centers, the cloud, and hybrid environments. The study shows that 38% of organizations use behavioral analysis and anomaly detection tools, which can instantly determine when a user is acting in a suspicious manner. For example, if an employee has never tried to download a customer database to her laptop before but is suddenly doing so at 2:00 a.m.—well, even if she has the authority to do so, something doesn’t appear to be right there. Machine learning is another effective tool at reacting quickly to threats, ML algorithms can study tremendous quantities of data (such as transaction logs) and identify patterns. The Oracle-KPMG study shows that 47% of organizations are using machine learning for cybersecurity purposes. Automation is also key: The more that software can handle routine security tasks, the fewer human errors can creep into system configurations and alert responses. In the study, 84% of companies say they’re committed to increased levels of security automation. Overall, the future of the cloud is bright when it comes to security. When the majority of organizations rate cloud security as better than their on-premises security, and when 90% of organizations categorize at least half of their cloud data as sensitive, we’re past the tipping point. Organizations must always remain vigilant, but the cloud has earned their trust. Alan Zeichick is principal analyst at Camden Associates, a tech consultancy in Phoenix, Arizona, specializing in software development, enterprise networking, and cybersecurity. Follow him @zeichick.   Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have guest blogger - Alan Zeichick -  principal analyst at Camden Associates. Is the cloud ready for sensitive data? You bet it is. Some 90% of businesses in a new survey say that at least...

Database Cloud

Lift and Shift Your Apps to the Cloud

Today we have guest blogger - Sai Valluri - Product MarketingManager. This year at Collaborate, I had the opportunity to host a panel discussion with three amazing customers and one partner. The title of the panel discussion was “Sharpen Your Competitive Edge: Lift and Shift Your Apps to the Cloud”. This discussion took place on 4/25 at 1:15 pm.     The panel included: Chris Brown, Director-Application Development, Port of Houston Chris is a seasoned IT executive with over 20 years of experience cultured in the full-vertical structure of operation oriented enterprises. Chris has experience in full Cycle Tier One ERP implementations of JDE software. In his current role, Chris oversees staff between two terminals supporting enterprise software port wide (several JDE modules) and interfaces between applications both hosted and on premises. Joe Finlinson, Business Applications Technology Director, Intermountain Healthcare Joe is an experience IT leader with over 15 years in enterprise IT. In his current role, Joe directs all technical aspects of the Business Applications Portfolio including PeopleSoft FSCM, Oracle E-Business Suite HR/Payroll, Kronos Timekeeping and Analytics, Hyperion Budgeting, OBIEE/OBIA, Oracle SOA Suite integrations along with several other applications. Michael Lee Sherwood,  Director of IT, City of Las Vegas Michael is an accomplished technology and innovation leader with a demonstrated history of working in government and private sector industries. Skilled in process improvement, budgeting, operations management, strategy, customer experience, and entrepreneurship. Michael graduated from University of Southern California - Marshall School of Business Niklas Ivelsatt, Senior Partner, Arisant LLC Niklas is the Co-founder and Senior Partner of Arisant LLC. Founded in 2006 in Denver, Arisant is well known for designing, building and supporting scalable, cost effective Oracle infrastructure environments. Arisant is an Oracle Platinum partner. The discussion covered a variety of challenges faced by customers and business benefits accrued by moving to Oracle Cloud. Each of the customers is running a key Oracle application such as E-Business Suite, JD Edwards and PeopleSoft. So in a way it’s a diverse customer group. Each of them made the transition to Cloud to better serve their stakeholders. Some of the challenges faced by customers included: Retiring workforce and its impact on day to day operations. Increasing hardware/ Data Center costs that create a burden on innovation. Providing services to end users quickly and efficiently. Ability to set up and tear down test environments. Business Benefits: For one customer by moving to Cloud at Customer, the customer could keep their E-Business Suite and databases on premise due to security/compliance and concern about putting core systems in the public cloud.  This also addressed any latency concerns. Savings in terms of hard dollars when compared to legacy deployments. Each of the panelists could validate savings and how they could utilize these dollars for other projects. Move to Cloud also helped our customers retrain employees and also attract new talent that was keen to work on Cloud. Cloud enables customers to leverage data and analytics. Thereby better manage operations, analyze data in real time and make faster business decisions. The panel also discussed how Oracle Cloud helped them overcome challenges and helped save costs and grow business. Some of the other topics that the panelists touched upon included total cost of ownership, selection process and best practices learned during the evaluation, implementation and post implementation phases.   Call to Action: You can hear the entire panel discussion at: http://nnf.questdirect.org/questmediaviewer.aspx?video=268022930     p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 14.7px Helvetica; -webkit-text-stroke: #000000} span.s1 {font-kerning: none}

Today we have guest blogger - Sai Valluri - Product MarketingManager. This year at Collaborate, I had the opportunity to host a panel discussion with three amazing customers and one partner. The...

Database

Every CEO is in the Data Security Business!

What would you consider your most valuable resource today? What about the world’s? Turns out they are one and the same: data. According to the Economist, data has replaced oil as the world’s most valuable resource. During every millisecond of our IT world, data is being collected on nearly every activity, creating a virtually limitless resource with equally unlimited demand. The New Data Economy Data drives improvement to products and services, which drives stronger customer adoption, resulting in even more data collection. The more data Tesla can collect on its self-driving cars, the better the cars will perform, and the better Tesla will outperform its competitors. This new data economy has changed the competitive landscape of the tech world. Whoever can acquire the most data the fastest—whether they collect it on their own or purchase it elsewhere—stands to win. But this new wealth of data comes with equally expensive risks. With every opportunity to collect more data comes the opportunity for hackers to steal it.  Cyber attacks the likes of Equifax or WannaCry cost companies billions, including potential hardship imposed on lives of individuals. Needless to say, companies stand to lose more than just money in the face of a cyber attack—a major breach can tarnish a company’s image, damaged credibility weaken consumer confidence, causing lasting damage to their brand and reputation. Cyber Risk is Growing Smart companies aren’t preparing for the “if” of a cyber attack, but the “when,” because hackers are constantly on the lookout to steal or compromise data. In a world where the next cyber attack could strike at any time, causing a data breach that costs your company millions, how should your company defend itself? Even the most secure firewalls, intrusion detection, and data loss prevention solutions can’t protect against an employee accidentally downloading malware by clicking on the wrong email, a security patch in a timely manner or a simple misconfiguration that leaves an entire database open to intrusion. You could hire an army of IT security professionals, but even they wouldn’t be able to manage the tens of thousands of security alerts that come into most security operations centers from today’s hybrid IT systems. Simply put, if you can’t protect your data, your company, —and your job—are at risk. But what if you could automate the fight? Get ahead of the hacker with a built-in army of “robot cyber warriors” to protect your data automatically, have all patches automatically applied, configurations self-tuned and optimized? Protect Your Data from the Inside Out Last October, Oracle introduced world’s first Autonomous Self-Securing Database. Oracle Autonomous Database is designed with built-in adaptive machine learning to protect you from external hackers as well as malicious internal users. It encrypts all of your data, automatically—ensuring comprehensive data protection. It applies security updates, automatically—while your system is running – with no down time. 24/7 Data Protection How many unpatched IT asset does your company have right now? Even one is too many, because if it is detected, it can be exploited. Oracle Autonomous Database patches itself as soon as available, without relying on humans remembering to apply . We all know that unpatched systems leave companies open to attack, yet sometimes leaving security vulnerabilities unaddressed is a company’s only option. Your IT team needs time to bring the system down, patch it, and get it up and running again. During every minute of that time, all of your applications, databases, software, and servers are vulnerable to hackers to exploit. With Oracle Autonomous Database, patching happens automatically, while the system is running--without any downtime. Secure Your Tomorrow Today Protecting the value of your most valuable assets has never been more important. And it’s something even the most powerful IT security team can’t do on their own. By facing the reality of a potential data breach with the power of a virtual cyber robot army, you protect your data, your brand, and your reputation. Oracle Autonomous Database eliminates the chance of human error, protects your data from intentional or external malicious actors. You can’t stop a hacker from trying, but with Oracle Autonomous Database, you will always stop them from succeeding. Join a Database month event: Inside the Mind of a Database Hacker with Penny Avril, VP of Oracle Database Server Technologies and Mark Fallon, Lead Security Architect, Oracle Database Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/    

What would you consider your most valuable resource today? What about the world’s? Turns out they are one and the same: data. According to the Economist, data has replaced oil as the world’s most...

Securing the Oracle Database eBook - Second Edition Now Available

Today we have guest blogger -  Michael Mesaros - director of Product Management. What every data owner should read before hackers and auditors come knocking! According to the Economist, data has surpassed oil as the most valuable asset. Data gives organizations unprecedented advantages, enabling them to find new ways to serve customers and create value. Your data is your asset, but unless you protect it well it could fall in wrong hands and become a liability.    We hear reports about breaches almost daily and by some estimates on average over 10 million records are lost or stolen each day worldwide.  In addition, new laws and regulations such as the European Union’s GDPR are forcing organizations to take a hard look at how they manage and protect data. Since databases contain most of their sensitive data assets, organizations are now appreciating the importance of securing their databases. Oracle Database provides the industry’s most comprehensive security. Read the latest eBook from Oracle, Securing the Oracle Database: A Technical Primer, authored by the Oracle Database Security Product Management team to: Learn the various approaches hackers use to try to gain access to your sensitive data. Understand the multiple layers of assessment, preventive, and detective security controls you need to protect your data. Guide your teams with strategies to shrink the attack surface and keep your databases secure, both on-premises and in the cloud. Use this book as a quick study into what every Database or Security Director/VP should know about the security of Oracle Databases.  This book will help you answer questions such as:   What are my options for authenticating and authorizing database users? How do I enforce separation of duties and limit access to data by administrators and other privileged users? How can I leverage encryption and key management to protect data in motion and at rest? How do I create application data sets that are safe to use in test, development and production environments? How do I audit database user activities and generate management and compliance reports? How do I monitor database activity and protect from attacks such as SQL injection? How do I leverage authorization technologies to build secure applications?  How can I evaluate the security posture of my database, and understand what controls I can implement to manage risk? What is EU GDPR, and how can database security technologies help with this and other regulatory compliance requirements? What do I need to know about securing databases in the cloud? Breaches are happening faster than ever and it is crucial that you are prepared with a sound database security strategy. Hackers aren’t resting in their endless quest to acquire your data, and we cannot risk resting either.  Arm yourself with up-to-date information about these database securityconcepts. Let’s start by securing the source! Let’s start by securing the source! Download your eBook  Join a Database month event: Inside the Mind of a Database Hacker with Penny Avril, VP of Oracle Database Server Technologies and Mark Fallon, Lead Security Architect, Oracle Database Learn more about Oracle Database Security Solutions  

Today we have guest blogger -  Michael Mesaros - director of Product Management. What every data owner should read before hackers and auditors come knocking! According to the Economist, data has...

Database

The Future of Data Management is Autonomous.

Gartner again names Oracle as a Leader in Data Management Solutions for Analytics. At Oracle, we believe that we continue to demonstrate superior ability to execute by delivering ground breaking innovations to the industry. Oracle revolutionized data management with the delivery of the world’s first autonomous database. Oracle Autonomous Database Cloud uses ground-breaking machine learning to enable automation that eliminates human labor, human error, and manual tuning to enable unprecedented availability, high performance, and security at much lower cost. “The Oracle Autonomous Database is based on a technology as revolutionary as the internet,” says Larry Ellison, Oracle Executive Chairman and CTO. Autonomous Database: Uses machine learning to automatically upgrade, patch, and tune itself Recognizes unusual behavior and fixes problems before they become outages ensuring 99.995 reliability Encrypts data by default, applies security patches automatically and protects from internal and external attacks Transform Your Data Management Today. Read the Oracle newsletter featuring Gartner content for more details. https://www.gartner.com/technology/media-products/newsletters/oracle/1-4TXFZ4K/index.html Gartner Magic Quadrant for Data Management Solutions for Analytics, Adam M. Ronthal, Roxane Edjlali, Rick Greenwald, 13 February 2018. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner again names Oracle as a Leader in Data Management Solutions for Analytics. At Oracle, we believe that we continue to demonstrate superior ability to execute by delivering ground breaking...

Oracle Collaborate 18 Key Sessions for Data Management Cloud Services

Oracle Collaborate 18 – Technology and Application Forum -  is coming to Las Vegas, Nevada on April 22-26. It offers 1200 Educational sessions and events, 5000 peer professionals, 200 exhibitors, and unlimited ideas and opportunities. To attend this event please register here. Below are the links to Oracle’s Data Management Cloud Sessions: Steve Daheb, Senior Vice President, Oracle Cloud Keynote “Oracle Cloud — How to Build Your Own Personalized Path to Cloud” Monday, April 23rd, 2:30 p.m. - 3:30 p.m. - Mandalay Bay Ballroom F   Monica Kumar, Vice President, Product Marketing, Oracle “Revolutionize Your Data Management with world's 1st Autonomous Database” Monday, April 23rd, 4:15 PM–5:15 PM – Jasmine G “The Future of Autonomous Cloud” Wednesday, April 25th, 11:00 AM–12:00 – Jasmine G   Sachin Sathaye, Sr. Director, Cloud Platform Services, Oracle “Your journey to cloud with Choice and Control” Monday, April 23rd, 4:15 PM–5:15 PM – Lagoon L   Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/                            

Oracle Collaborate 18 – Technology and Application Forum -  is coming to Las Vegas, Nevada on April 22-26. It offers 1200 Educational sessions and events, 5000 peer professionals, 200 exhibitors, and...

The Forgotten Link To The Cloud

Today we have guest blogger - Francisco Munoz Alvarez - an author and popular speaker at many Oracle conferences around the world. Last year when presenting a session at Collaborate’17 in Las Vegas regarding Tips and Best Practices for DBAs, I went thru the evolution of the DBA profession and also gave a few tips of how a DBA can improve and be successful on his/her career. After my session, many people approached me with questions regarding what will happen with the DBA profession with the introduction of Cloud to our life. Would the DBAs workload be fully automated and the DBA profession will disappear? Should I be afraid of the Cloud? Should I start looking for a new career? And many more questions like this, making me aware of an unexpected situation – the DBAs are blocking many possible Cloud endeavors for their organizations because they are scared of what it would bring to their future in the industry. So, after discovering this unexpected situation I decided to write this post to express my overview on this so important topic! Automation vs. Autonomous Let start this post by clearing some common confusions and misunderstandings. For the past 10 years of my career I have been recommending DBA's to automate most (if not all) business as usual (BAU) work and to concentrate at becoming as much proactive as possible (If you cannot automate a BAU process, delegate it) because you have more important things to do! I am recommending this over and over because I am constantly watching DBA's losing too much time with BAU work, consequently making them unable to expend time on career development (training and learning about new technologies), work at important projects such as per example Optimization, Security, Performance Tuning, High Availability, Migrations, Upgrades and also unable to work with new technologies that could seriously benefit the business and obtain the best ROI to company resources. I would like to use the automotive industry as example to clarify the differences between Automation and Autonomous. I love to drive my car, I love to be behind the wheel and enjoy the experience. Recently I bought a new car that include many driver assistance technologies (Automation). It has Autonomous cruise control (that automatically adjusts the vehicle speed to maintain a safe distance from vehicles ahead, and even stop the car if necessary), Line Changing Alert, Collision alert (alert us if close to have a collision due to speed or proximity and breaks for you if required), Driving behavior alert (Check for fatigue and dangerous driving behaviors) Automatic Head Light and Windscreen Wiper, Parking assistance and much more. Many people could think that all these features would affect my driving experience, but remember, as the person at control (the driver) you can choose what options would be used and when, and also can be adjusted as per your driving requirements. So, it did not affect me at all, by the opposite, they made my driving easier and safer, furthermore allowing me to enjoy it even more. We are also talking about fully autonomous cars (that would fully drive itself, you just need to tell the car where you are going) for long time and many companies are investing resources on this type of technologies (Toyota, Tesla, Google, Uber are only a few) and are constantly making public testing of it. We know this is the future, and we know that is coming, but not anytime too soon (like this year or the next) and when the time comes, the global population would adopt it gradually. The Oracle Database world is very similar to the above example. Automation within database is a reality and well needed, autonomous databases are coming and we cannot stop it. So, let's evolve and be prepared on time, we still have time until everyone starts adopting it gradually. Cloud, the inevitable next step in the DBA DNA evolution! The constant evolution of IT has, among other things, affected the role of a DBA. Today the DBA is not merely a Database Administrator anymore but is morphing more into the Database Architect role. If you want to become a successful DBA (Database Architect) and be more competitive in the market, you should have a different skill set than was normally required in the past. Now a day, you need to have a wide range of understanding in architectural design, Cloud, network, storage, licensing, versioning, automation, and much more - the more knowledge you have, the better opportunities you will find. We know without doubt that our future involves automation and Cloud technologies, so why fight it? Why continue losing our time and energy against it? Let's take advantage of it now! So, what is next? First, learn to change yourself If you want to become a successful professional, first you need to educate yourself to be successful! Your future success depends only in your attitude today. You control your career, nobody else! Becoming a successful DBA is a combination of: Your professional attitude, always think positive and always look for solutions instead to kill yourself in a cup of water. Learn how to research, before do something, investigate, search in the internet, read manuals. You need to show that you know how to do a properly research and look for solutions for your problems yourself. Be innovate, don’t wait for others to do your job, or because the other DBAs don’t care about the business you will do the same. Learn to innovate, learn to become a leader and make everyone follow your example with results. Think Different! Learn to communicate properly; the best way to learn how to communicate effectively is learning to listen first. Listen, then analyse the context expressed and only than communicate an answer in a professional and honest way to your peers. Always treat everyone the same way you would like to be treated. Albert Einstein said one time: “If I had one hour to save the world, I would spend fifty-five minutes defining the problem and only five minutes finding the solution” Second Learn to be Proactive Why check the problems only when they are critical, or when is too late and the database is down, or the users are screaming? Being proactive is the best approach to keep your DB healthy and to show your company, or your clients that you really care about them. Many DBA’s expend most of their time being firefighters only, fixing problems and working on user’s requests all the time. They don’t do any proactive work; this mentality only will cause an overload of work to them, thousands of dollars of overtime, several hours without access to the data to the users, poor performance to the applications, and what is worse of all, several unhappy users thinking that you don’t have the knowledge needed to take care of their data. Let’s mention a small example, you have the archive log area alert set to fire when it is 95% full, and this happens in the middle of the night, some DBA’s will take seriously the alert and solve the problem quickly, others will wait until the next day to take care of it because they are tired, or sleeping, or they are in a place without internet access at the moment the alert arrived. Will be a lot easier if they set a proactive alert to be fire when 75% or 85%, or even better, take a look in the general health status of the DB before leave their work shift, to try to detect and solve any possible problem before be a real problem and be awake in the middle of the night or during the weekend (Remember how important is your personal and family time). I’ll always recommend to DBA’s to run 2 checklists daily, one in the start of their shift and other before they leave their shift. I know several DBA’s that complain all the time that they got so many calls when they are on call, but they don’t do anything to solve the root problem, they only expend their time to solve the symptoms. So, let’s change our mentality, let stop being a firefighter and start to be a real hero! Third, Educate and prepare yourself for the future Finally, here are some things you should be concentrate at learning and improving your skills, as per example: How to manage different RDBMS technologies (as per example: MySQL, SQL Server, DB2, etc). How to manage NoSQL technologies (as per example: Cassandra, Druid, HBase, and MongoDB). How to resolve unavailability issues. Execute recovery test from current and old backups and document the process for your company DRP (Disaster and Recovery Plan). Ensure your company RPO and RTO SLAs are being fulfilled by your high availability plan and backup and recovery strategy. Gaining deep knowledge at performance tuning. Learn how your applications work and how they interact with the database and middle layers. Learn on how to review and implement security Keep up with DB trends & technologies. Use new technologies when applicable (as per example Kafka, Microservices, Containers, Virtualization) Know how to perform storage and physical design.  Diagnose, troubleshoot and resolve any DB related problems. Ensure that Oracle networking software is configured and running properly. Mentor and train new DBA’s (This allow you to review and learn new things). Learn about XML, Java, Python, PHP, HTML, and Linux, Unix, Windows Scripting. Automate all BAU work or delegate it. Implement Capacity Planning /Hardware Planning Architect, Deploy and Maintain Cloud Environments Improve your SQL and PL/SQL skills and Review SQL and PL/SQL codes in your environment. Control and execute code promotions to production environments Master Cloud technologies (IaaS, DBaaS, PaaS and SaaS) Like you can easily see, as DBAs we have a lot of things to do and learn about, so stop losing time with BAU, because you have a lot of more important things to do and learn about. Embrace the future, the Cloud wave, the change, and the evolution. Do not stay in the past anymore, it would only affect yourself and your career in the future! Francisco’s Bio: Francisco Munoz Alvarez is an author and popular speaker at many Oracle conferences around the world. He is also the President of CLOUG (Chilean Oracle Users Group), APACOUC  (APAC Oracle Users Group Community, which is the umbrella organization for all of APAC), IAOUG (Independent Australia Oracle Users Group) and NZOUG (New Zealand Oracle Users Group. He also worked in the first team to introduce Oracle to South America (Oracle 6 and the beta version of Oracle 7). He was also the first Master Oracle 7 Database Administrator in South America, as well as the first Latin American Oracle professional to be awarded a double ACE (ACE in 2008 and ACE Director in 2009) by Oracle HQ. In 2010, he had the privilege to receive a prestigious Oracle Magazine Editor's Choice Award as the Oracle Evangelist of the Year--a huge recognition for his outstanding achievements in the Oracle world that includes the creation and organization of the already famous OTN Tours that are the biggest Oracle evangelist events in the world. Currently, Francisco works for Data Intensity, which is a global leader in data management consulting and services, as the Director of Innovation. He also maintains an Oracle blog (http://www.oraclenz.org) and you can always contact him through this or Twitter (@fcomunoz) regarding any questions about Oracle. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Today we have guest blogger - Francisco Munoz Alvarez - an author and popular speaker at many Oracle conferences around the world. Last year when presenting a session at Collaborate’17 in Las Vegas...

Database

Oracle Exadata Cloud Service Certified for SAP Applications

Today we have guest blogger - Bertrand Matthelie - Senior Principal Product Marketing Director In an earlier blog, I described how moving SAP applications & Oracle databases to Oracle Cloud enables customers to preserve existing investments while accelerating innovation, relying on the only cloud architected for enterprise workloads and optimized for Oracle Database. Further enhancing the unique value of Oracle Cloud, SAP Applications based on NetWeaver 7.x have now been certified on Oracle Exadata Cloud Service. Oracle Exadata is the best-performing, most available, and most secure architecture for running Oracle Database. Oracle Exadata Cloud Service enables you to: Get the full performance of Oracle Exadata in the cloud Combine the benefits of on-premises and cloud Increase business agility and operational flexibility with zero CapEx Scale-out quickly and easily The Oracle Exadata Database Machine has proven to be a very popular solution to power SAP deployments. Customers running SAP applications with Exadata on-premises can easily move their SAP workloads to Exadata Cloud Service and benefit from Oracle’s BYOL to PaaS program. All features & options of Oracle Database 12c Release 1 (12.1.0.2) and Release 2 (12.2.0.1), including Real Application Clusters (RAC), Automatic Storage Management (ASM) and Oracle Database In-Memory supported for on-premises deployments of SAP NetWeaver are supported and certified for Exadata Cloud Service. For more information, read SAP Note 2614028 "SAP NetWeaver Application Server ABAP/Java on Oracle Database Exadata Cloud Service" and our White Paper "SAP NetWeaver Application Server ABAP/Java on Oracle Database Exadata Cloud Service". Let us know if you have any question or comment. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/   p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Verdana; color: #666666; -webkit-text-stroke: #666666} span.s1 {font-kerning: none}

Today we have guest blogger - Bertrand Matthelie - Senior Principal Product Marketing Director In an earlier blog, I described how moving SAP applications & Oracle databases to Oracle Cloud enables...

Database

Autonomous Capabilities Will Make Data Warehouses—and DBAs—More Valuable

Today we have guest blogger  - Alan Zeichick - principal analyst at Camden Associates As the old saying goes, you can’t manage what you don’t measure. In a data-driven organization, the best tools for measuring the performance are business intelligence (BI) and analytics engines, which require data. And that explains why data warehouses continue to play such a crucial role in business. Data warehouses often provide the source of that data, by rolling up and summarizing key information from a variety of sources. Data warehouses, which are themselves relational databases, can be complex to set up and manage on a daily basis, so they typically require significant human involvement from database administrators (DBAs). In a large enterprise, a team of DBAs ensure that the data warehouse is extracting data from those disparate data sources, as well as accommodating new and changed data sources. They’re also making sure the extracted data is summarized properly and stored in a structured manner that can be handled by other applications, including those BI and analytics tools. On top of that, DBAs are managing the data warehouse’s infrastructure, everything from server processor utilization, the efficiency of storage, security of the data, backups, and more. However, the labor-intensive nature of data warehouses is about to change, with the advent of Oracle Autonomous Data Warehouse Cloud, announced in October 2017. The self-driving, self-repairing, self-tuning functionality of Oracle’s Data Warehouse Cloud is good for the organization—and good for the DBAs. No Performance-Tuning Knobs Data-driven organizations need timely, up-to-date business intelligence, which can feed instant decision-making, short-term predictions and business adjustments, and long-term strategy. If the data warehouse goes down, slows down, or lacks some information feeds, the impact can be significant. No data warehouse may mean no daily operational dashboards and reports, or inaccurate dashboards or reports. Oracle Autonomous Data Warehouse Cloud is a powerful platform, because the customer doesn’t have to worry about the system itself, explains Penny Avril, vice president of product management for Oracle Databases. “Customers don’t have to worry about the operational management of the underlying database—provisioning, scaling, patching, backing up, failover, all of that is fully automated,” she says. “Customers also don’t have to worry about performance. There are no performance knobs for the customer: DBAs don’t have to tweak anything themselves.” For example, one technique used to drive Autonomous Data Warehouse’s performance is by automating the process of creating storage indexes, which Avril describes as the top challenge faced by database administrators. Those indexes allow applications to quickly extract data required to handle routine reports or ad-hoc queries. “DBAs manually create custom indexes when they manage their own data warehouse. Now, the autonomous data warehouse transparently, and continually, generates indexes automatically based on the queries coming in,” she says. Those automatically created indexes keep the performance high, without any manual tuning or interventional required by DBAs. Related: Join Oracle CEO Mark Hurd for the release of the world’s first autonomous database cloud service. Register now. The organization also can benefit by the automatic scaling features of Autonomous Data Warehouse. When the business requires more horsepower in the data warehouse to maintain performance during times of high utilization, the customer can add more processing power by adding more CPUs to the cloud service, for which there is an additional cost. However, Avril says, “Customers can scale back down again when the peak demand is over”—eliminating that extra cost until the next time the CPUs are needed. Customers can even turn off the processing entirely if needed. “When a customer suspends the service, they pay for storage, but not CPU,” she says. “That’s great for developers and test beds. It’s great for ad-hoc analytics for people running queries. When you don’t need a particular data warehouse, you can just suspend it.” Freedom for the Database Administrator Performance optimization, self-repairing, self-securing, scalability up and down—those benefits serve the organization. What about the poor DBA? Is he or she out of work? Not at all, says Avril, laughing at the question. “They can finally tackle the task backlog,” adding more value to the business, she says. Avril explains that DBAs do two types of day-to-day work. “There are generic tasks, common to all databases, including data warehouses. And there are tasks that are specific to the business. With Oracle’s Autonomous Data Warehouse, the generic tasks go away. Configuring, tuning, provisioning, backup, optimization—gone.” That leaves the good stuff, she explains: “If they aren’t overloaded with generic tasks, DBAs can do business-specific tasks, like data modeling, integrating new data sources, application tuning, and end-to-end service level management.” For example, DBAs will have to manage how applications connect to the data warehouse—and what happens if things go wrong. “If the database survives a failure through failover, does the application know to failover instantly and transparently? The DBA still needs to manage that,” Avril says. In addition, data security still must be managed. “Oracle will take care of patching the data warehouse itself, but Oracle doesn’t see the customer’s data,” she says, “DBAs still need to understand where the data lives, what the data represents, and which people and applications should get to see which data.” No need for a resume writer: DBAs will still have plenty of work to do. For C-level executives, Autonomous Data Warehouse can improve the value of the data warehouse—and the responsiveness of business intelligence and other important applications—by improving availability and performance. “The value of the business is driven by data, and by the usage of the data,” says Avril. “For many companies, the data is the only real capital they have. Oracle is making it easier for the C-level to manage and use that data. That should help the bottom line.” For the DBA, Autonomous Data Warehouse means the end of generic tasks that, on their own, don’t add significant value to the business. Stop worrying about uptime. Forget about disk-drive failures. Move beyond performance tuning. DBAs, you have a business to optimize. Alan Zeichick is principal analyst at Camden Associates, a tech consultancy in Phoenix, Arizona, specializing in software development, enterprise networking, and cybersecurity. Follow him @zeichick. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Today we have guest blogger  - Alan Zeichick - principal analyst at Camden Associates As the old saying goes, you can’t manage what you don’t measure. In a data-driven organization, the best tools for...

Autonomous Database

Autonomous vs. Automated

The invention of the telephone in 1876 made an immense impact on human communication, paving the wave for an explosion of inventions and business opportunities. In the late 1970s the dawn of the personal computer ushered in an even more intimate connection with technology. The Internet became the ultimate technological disruption in 1991, when it enabled easy communication around the globe with personalized content delivery. Fast-forward to 2007 when the iPhone let us carry our computer in our pocket and engage with technology anytime, anywhere. Since then, technological disruption has been the norm, not the exception, driven in large part by advances in Artificial Intelligence (AI) and machine learning. In 2008, Tesla made the dream of the electric car real, and just last year Elon Musk showcased the first fully autonomous self-driving car. When it comes to cars, some might think of autonomous, automated, and self-driving as interchangeable terms, but there’s a critical difference to note. An automated car allows drivers to take control of limited functions—think cruise control—but the driver still must keep overall manual control of the vehicle. Whereas an autonomous car eliminates the need for human interaction so the driver can sit back and enjoy the ride—reducing the stress of commute, and giving them a chance to focus on other important activities. And it’s all thanks to AI that an autonomous car has a level of intelligence and independence that only machine learning can bring. Machine learning is a subset of artificial intelligence with the sophistication to discover hidden opportunities, accelerate tedious processes, and identify which data insights matter. And the good news is that it’s not limited to cars. At Oracle OpenWorld last year, Oracle Chairman of the Board and CTO Larry Ellison unveiled his vision for the world’s first autonomous database cloud that is self-driving, self-securing and self-repairing. "This is the most important thing Oracle has done in a long, long time. The same way self-driving cars open a new world of possibilities in our life, self-driving database will bring the world of technology to a different level – reduced risk & cost, unprecedented availability, performance, security, flexibility." Building on the next generation of the industry-leading Oracle Database 18c, the Oracle Autonomous Database Cloud uses ground-breaking machine learning to eliminate human labor, human error, and manual tuning. The result? Unprecedented availability, high performance, and security, all for a much lower cost. The Oracle Autonomous Database is “self-driving,” meaning that it autonomously upgrades and patches itself while running. No human intervention required. The Oracle Autonomous Database, like the technological innovation that proceeded it, didn’t just happen overnight.  Oracle has been developing sophisticated database automation for decades, and invested thousands of engineer years automating key database functions, as this journey map shows. Oracle Database 18c is the latest generation of the world’s most popular database is now available. It provides businesses of all sizes with access to the worlds fastest, most scalable, and reliable technology. Oracle’s self-driving database disrupts the world of database management in the same way self-driving changes the way we commute and revolutionizing the transportation industry. What does it mean for Oracle customers when the World’s #1 Database becomes the World’s 1st Autonomous Database? The payoff is huge. Because no human intervention is needed, the Oracle Autonomous Database eliminates mundane management tasks, reduces labor, costs, and errors, all while increasing security and availability. Game changing technologies of the past such as the phone, computer and the internet fundamentally changed lives and set a course to open new opportunities, innovations, allowing us to dream big. The Oracle Autonomous Database Cloud is revolutionizing how data is managed, enabling faster, easier data access, helping to unlock the potential of your data so your business can benefit – and dream big. Read more about the Oracle Autonomous Database Cloud.

The invention of the telephone in 1876 made an immense impact on human communication, paving the wave for an explosion of inventions and business opportunities. In the late 1970s the dawn of the...

Autonomous Database

Education Available at COLLABORATE 18

Today, we have guest blogger - Wincy Ip - Senior Manager, User Groups Whether organizations are seeking to modernize their Oracle on-premise solutions, evaluate a path to the cloud, or optimize business already in the cloud, COLLABORATE offers a unique opportunity for Oracle users to learn how to maximize existing Oracle investments and take them to the next level. This year's program at COLLABORATE 18 features key themes such as how to achieve breakthrough value from existing on-premise and database offerings; increase the value of on-premise investments by migrating, connecting, and extending with Oracle's Cloud solutions; and how emerging technologies impact established business processes. COLLABORATE 18 offers more than 1,200 educational sessions, with 230 being led by Oracle speakers. For Oracle on-premise customers, sessions include 314 focused on Oracle E-Business Suite, 214 JD Edwards, 179 PeopleSoft, and 99 Hyperion. Steve Daheb, Senior Vice President for Oracle Cloud, will present the Oracle keynote: Oracle Cloud – How to Build Your Own Personalized Path to Cloud. Attendees can then select from over 500 sessions spanning how Oracle's SaaS, IaaS, and PaaS solutions can accelerate business transformation, increase agility, and optimize security with their existing solutions. COLLABORATE, the premiere, annual technology and applications forum for the Oracle community, will take place this year April 22-26, at the Mandalay Bay Resort and Casino in Las Vegas, Nevada. Hosted by three Oracle user groups – IOUG, OAUG, Quest International Users Group – the five-day user conference will host more than 5,000 attendees in keynotes, sessions, workshops, networking events, and an exhibitor showcase with 200+ vendors. Below are some of the sessions to explore at COLLABORATE 18: p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 14.7px Times; color: #1f497d; -webkit-text-stroke: #1f497d} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 14.7px Times; color: #800080; -webkit-text-stroke: #800080} p.p3 {margin: 0.0px 0.0px 0.0px 0.0px; font: 14.7px Times; -webkit-text-stroke: #000000} span.s1 {font-kerning: none} span.s2 {text-decoration: underline ; font-kerning: none}   What's New in Oracle Database 18c William Hardie, Vice President, Oracle Database Product Management [Session ID: 1162] Preview of Oracle Autonomous Database Maria Colgan, Master Product Manager, Oracle [Session ID: 1363] Revolutionize Your Data Management with World's 1st Autonomous Database Monica Kumar, Vice President, Product Marketing, Oracle [Session ID: 1721] The Future of Autonomous – Powered by Oracle Monica Kumar, Vice President, Product Marketing, Oracle [Session ID: 1162] Upgrade and Migrate to Oracle Database Cloud Roy Swonger, Vice President, Database Upgrades & Utilities, Oracle [Session ID: 1175] Hands-On Lab: Upgrade and Migrate to Oracle Database 18 Roy Swonger, Vice President, Database Upgrades & Utilities, Oracle [Session ID: 1176] Oracle Database In-Memory: Past, Present, and Future Tirthankar Lahiri, Vice President, Data and In-Memory Technologies, Oracle [Session ID: 1337]   Check out the complete agenda where you can search by keyword or apply filters by education track, product line, business goal, or industry. You can also create a profile to build and save your personal education plan.   Haven't registered? What are you waiting for? For more information, visit attendcollaborate.com and register today!  

Today, we have guest blogger - Wincy Ip - Senior Manager, User Groups Whether organizations are seeking to modernize their Oracle on-premise solutions, evaluate a path to the cloud, or...

Database

Does GPU hardware help Database workloads?

Graphics processing units or GPUs are dedicated highly parallel hardware accelerators that were originally design to accelerate the creation of images. More recently, folks have been looking at GPUs to accelerate other workloads like Database analytics and transaction processing (OLTP). Although GPUs have little or no use for OLTP style workloads, they have been shown to accelerate analytics. So, what kind of benefits can you expect from running the Oracle Database on a GPU and where are you likely to see these benefits?  The Oracle Database has a long history of adopting new technologies as they become available and allowing customers to take advantage of these technologies transparently in their existing applications.  Oracle is continuing this tradition by taking advantage of the latest hardware and software technologies to provide dramatically faster analytics performance. Oracle has already released Oracle Database In-Memory which uses columnar in-memory formats to greatly accelerate analytics.  The columnar in-memory algorithms make extensive use of SIMD Vector instructions that are already present in CPUs.  SIMD Vector instructions accelerate analytics by processing many data elements in a single instruction.  SIMD Vector instructions benefit from having full access to the very large caches and memory bandwidth that exist in current CPU sockets.  An advantage of SIMD Vector instructions is that they are present in all existing CPUs and add no further cost, complexity, or power usage is required on top of the existing hardware. Oracle continues to rapidly add new SIMD Vector algorithms to the database to take further advantage of these specialized instructions.  SIMD Vector processing has already delivered very large analytics performance gains in the Oracle Database, and customers should expect additional performance gains from new and improved uses of these instructions in future database releases.  What great about this approach is that these performance gains will be transparent to applications and require no additional hardware or  effort from the customer other than installing the software. Further, Oracle has been actively working with Intel and other chip vendors for many years to add additional SIMD vector instructions to CPUs for the specific purpose of accelerating Oracle Database algorithms. Some of these instructions are now becoming available, and more instructions will become available as new CPU chips are released in the next few years.  GPUs offer the potential to further accelerate analytic processing through two mechanisms: Adding more parallel processing Using higher bandwidth, but much smaller specialized memory called High Bandwidth Memory (HBM) Oracle is actively working with the major GPU vendors to implement database algorithms that use these devices.  But current generation GPUs have several disadvantages: They are heavily oriented towards floating point and other numeric processing.  Therefore, the large majority of processing power available in these devices is not useful for accelerating database algorithms.  These devices sit on the PCI bus, and don't have direct access to the server's DRAM memory.  Instead GPUs have their own local high bandwidth memory, but the size of this local memory is one to two orders of magnitude smaller than the server memory.   All data that a GPU processes must be moved back and forth across the PCI bus from the main CPUs. It is important to learn the basic architectural benefits and tradeoffs of GPUs in order to understand where they provide the most value.  The huge number of parallel computation engines provided by these devices excel at accelerating tasks that require large numbers of computations on small amounts of data.  GPUs are extremely effective for Blockchain applications because these require billions of computations on a few megabytes of data.  GPUs are great for deep learning since these perform repeated computational loops on megabytes to gigabytes of data.  GPUs are great for graphics because three-dimensional imaging requires millions of computations on every image.  The pattern here is the same - lots of computation on modest amounts of data. Databases analytics has a completely different pattern of data usage.  Analytics typically perform a small number of simple calculations on large amounts of data, often hundreds of gigabytes to petabytes of data.  For example, a typical analytic query will apply a simple predicate (e.g. filter sales by date or region) and then perform a simple aggregation function (e.g. sum or average).  Note that the analytics usage pattern is the exact opposite of the sweet spot for GPUs described above.  Because the data being processed is much larger than can fit in the local GPU memory, data must be moved back and forth across the PCI bus. This limits the total throughput to the PCI bus bandwidth which is dramatically lower than the local memory bandwidth.  This doesn't mean that GPUs don't provide any benefits for analytics, but users should not expect the dramatic benefits seen in other applications. It is just not architecturally possible. Oracle, and other vendors, have found that some database analytics algorithms can in fact run faster on GPUs than using conventional processing methods.  However, care should be taken when reading performance comparisons because the analytic landscape is rapidly changing.  As mentioned before, databases are now increasingly taking advantage of SIMD Vector instructions.  The comparisons that are often published showing huge advantages for GPUs usually contrast performance using traditional database algorithms vs new and highly optimized GPU algorithms.  Further more, these comparisons often use easily available but un-optimized and un-parallelized open-source databases that are orders of magnitude slower than commercial databases for analytics.  Oracle's internal benchmarking shows that comparing GPUs to current vector instruction optimized algorithms greatly narrows the performance advantage of GPUs.  New vector optimized algorithms and parallelization that Oracle will be releasing will further narrow the gap, and in most cases, we find that a standard two-socket server will deliver similar performance using these new algorithms to a server with eight GPU cards. In addition to big changes in software algorithms that are coming in the analytics area, there are big changes coming in hardware. PCI buses will get faster, and future GPUs will reduce their PCI bus communication disadvantages by adding direct high bandwidth communication with the main CPUs.   On the other hand, future CPUs may add support for High Bandwidth Memory eliminating one of the main advantages of GPUs. In summary, Oracle is actively improving its analytic algorithms by further leveraging SIMD Vector instructions and improving parallelism.  The Oracle database is already dramatically faster for analytics than it was a few years ago and will get much faster in the coming releases.  Oracle is working with both conventional CPU vendors and GPU vendors to add new hardware capabilities that specifically optimize database processing.  Current GPUs can be shown to run some analytic algorithms faster but achieving these advantages in a non-benchmark environment is challenging because these algorithms only work for a subset of analytic functions, and data needs to be moved back and forth across the PCI bus.  Oracle is also actively working on adapting its database algorithms to take transparent advantage of GPUs and will release these algorithms if we find that the performance gains are sufficient and sustainable.

Graphics processing units or GPUs are dedicated highly parallel hardware accelerators that were originally design to accelerate the creation of images. More recently, folks have been looking at GPUs...

Oracle Database 18c : Now available on the Oracle Cloud and Oracle Engineered Systems

Today we have a guest blogger, Dominic Giles, Master Product Manager from Oracle Database providing us with insights into what to expect from Oracle Database 18c. Oracle Database 18c's arrival marks a change in the way the world’s most popular database is released. It brings new functionality and improvements to features already available in Oracle Database 12c. In this blog, I'll highlight what you can expect from this new release and where you can get additional information but first let me address the new release model that the Database team has adopted. Release schedule Oracle Database 18c is the first version of the product to follow a yearly release pattern. From here onwards the Oracle Database will be released every year along with quarterly updates. You can find more details on this change by visiting Oracle Support and taking a look at the support Document 2285040.1 or on Mike Dietrich’s blog. If you’re confused as to why we’ve apparently skipped 6 releases of Oracle it may be simpler to regard “Oracle Database 18c” as “Oracle Database 12c Release 2 12.2.0.2”, where we’ve simply changed the naming to reflect the year in which the product is released. We believe the move to a yearly release model and the simplification of the patching process will result in a product that introduces new smaller changes more frequently without the potential issues that a monolithic update brings.    Building on a strong foundation   Oracle Database 18c, as I mentioned earlier, is the next iteration of Oracle Database 12c Release 2 and as a result, it has a lot of incremental enhancements aimed to improve upon this important release. With that in mind, let’s remind ourselves what was in Oracle Database 12c Release 2.   The release itself focused on 3 major areas: Multitenant is Oracle’s strategic container architecture for the Oracle Database. It introduced the concept of a pluggable database (PDB) enabling users to plug and unplug their databases and move them to other containers either locally or in the cloud. The architecture enables massive consolidation and the ability to manage/patch/backup many databases as one. We introduced this architecture in Oracle Database 12c and extended it capabilities in Oracle Database 12c Release 2 with the ability to hot clone, online relocate and provide resource controls for IO, CPU and Memory on a PDB basis. We also ensured that all of the features available in a non-container are available for a PDB (Flashback Database, Continuous Query etc.). Database In-Memory enables users to perform lightning fast analytics against their operational databases without being forced to acquire new hardware or make compromises in the way they process their data. The Oracle Database enables users to do this by adopting a dual in-memory model where OLTP data is held both as rows, enabling it to be efficiently updated, and in a columnar form enabling it to be scanned and aggregated much faster. This columnar in-memory format then leverages compression and software in silicon to analyze billions of rows a second, meaning reports that used to take hours can now be executed in seconds. In Oracle Database 12c Release 2 we introduced many new performance enhancements and extended this capability with new features that enabled us to perform in In-Memory analytics on JSON documents as well as significantly improving the speed at which the In-Memory column store is available to run queries after at startup.   Oracle Database Sharding, released in Oracle Database 12c Release 2, provides OLTP scalability and fault isolation for users that want to scale outside of the usual confines of a typical SMP server. It also supports use cases where data needs to be placed in geographic location because of performance or regulatory reasons. Oracle Sharding provides superior run-time performance and simpler life-cycle management compared to home-grown deployments that use a similar approach to scalability. Users can automatically scale up the shards to reflect increases in workload making Oracle one of the most capable and flexible approaches to web scale workloads for the enterprise today. Oracle 12c Release 2 also included over 600 new features ranging from syntax improvements to features like improved Index Compression, Real Time Materialized views, Index Usage Statistics, Improved JSON support, Enhancements to Real Application Clusters and many many more. I’d strongly recommend taking a look at the “New Features guide for Oracle Database 12c Release 2” available here Incremental improvements across the board As you’d expect from a yearly release Oracle Database 18c doesn’t contain any seismic changes in functionality but there are lots of incremental improvements. These range from syntax enhancements to improvements in performance, some will require that you explicitly enable them whilst others will happen out of the box. Whilst I’m not going to be able to cover all of the many enhancements in detail I’ll do my best to give you a flavor of some of these changes. To do this I’ll break the improvements into 6 main areas : Performance, High Availability, Multitenant, Security, Data Warehousing and Development. Performance For users of Exadata and Real Application Clusters (RAC), Oracle Database 18c brings changes that will enable a significant reduction in the amount of undo that needs to be transferred across the interconnect. It achieves this my using RDMA, over the Infiniband connection, to access the undo blocks in the remote instance. This feature combined with a local commit cache significantly improves the throughput of some OLTP workloads when running on top of RAC. This combined with all of the performance optimization that Exadata brings to the table, cements its position as the highest performance Database Engineered System for both OLTP and Data Warehouse Workloads. To support applications that fetch data primarily via a single unique key Oracle Database 18c provides a memory optimized lookup capability. Users simply need to allocate a portion of Oracle’s Memory (SGA) and identify which tables they want to benefit from this functionality, the database takes care of the rest. SQL fetches are significantly faster as they bypass the SQL layer and utilize an in-memory hash index to reduce the number or operations that need to be performed to get the row. For some classes of application this functionality can result in upwards of 4 times increase in throughput with a halving of their response times. To ease the maintenance work for In-Memory it’s also now possible to have tables and partitions automatically populated into and aged out of the column store. It does this by utilizing the Heat Map such that when the Column Store is under memory pressure it evicts inactive segments if more frequently accessed segments would benefit from population. Oracle Database In-Memory gets a number of improvements as well. It now uses parallel light weight threads to scan its compression units rather than a process driven serial scans. This is available for both serial and parallel scans of data and it can double the speed at which data is read. This improves the already exceptional scan performance of Oracle Database In-Memory. Alongside this feature, Oracle Database In-Memory also enables Oracle Number types to be held in their native binary representation (int, float etc). This enables the data to be processed by the vector processing units on processors like Intel’s Xenon CPU much faster than previously. For some aggregation and arithmetic operations this can result in a staggering 40 times improvement in performance. Finally, In-Memory in Oracle Database 18c also allows you to place data from external tables in the column store, enabling you to execute high performance analytics on data outside of the database. High Availability Whether you are using Oracle Real Application Clusters or Oracle DataGuard we continue to look for ways to improve on the Oracle Database’s high availability functionality. With Oracle Database 18c we’re rolling out a few significant upgrades. Oracle Real Application Clusters also gets a hybrid sharding model. With this technology you can enjoy all of the benefits that a shared disk architecture provides whilst leverage some of the benefits that Sharding offers. The Oracle Database will affinitize table partitions/shards to nodes in the cluster and route connections using the Oracle Database Sharding API based on a shard key. The benefit of this approach is that it formalizes a technique often taken by application developers to improve buffer cache utilization and reduce the number of cross shard pings between instances. It also has the advantage of removing the punitive cost of cross shard queries simply by leveraging RAC’s shared disk architecture. Sharding also gets some improvements in Oracle Database 18c in the form of “User Defined Sharding” and “Swim Lanes”. Users can now specify how shards are to be defined using either the system managed approach, “Hashing”, or by using an explicit user defined model of “Range” and “List” sharding. Using either of these last two approaches gives users the ability to ensure that data is placed in a location appropriate for its access. This might be to reduce the latency between the application and the database or to simply ensure that data is placed in a specific data center to conform to geographical or regulatory requirements. Sharded swim lanes also makes it possible to route requests through sharded application servers all the way to a sharded Oracle Database. Users do this by having their routing layer call a simple REST API. The real benefit of this approach is that it can improve throughput and reduce latency whilst minimizing the number of possible connections the Oracle Database needs to manage. For the users of Java in the Database we’re rolling out a welcome fix that will make it possible to perform rolling patching of the database. Multitenant Multitenant in Oracle Database 18c got a number of updates to continue to round out the overall architecture.  We’re introducing the concept of a Snapshot Carousel. This enables you to define regular snapshots of PDBs. You can then use these snapshots as a source for PDB clones from various points of time, rather than simply the most current one. The Snapshot Carousel might be ideal for a development environment or to augment a non-mission critical backup and recovery process. I’m regularly asked if we support Multitenant container to container active/active Data Guard Standbys. This is where some of the primary PDBs in one container have standby PDBs in an opposing container and vice versa. We continue to move in that direction and in Oracle Database 18c we move a step closer with the introduction of “Refreshable PDB Switchover”. This enables users to create a PDB which is an incrementally updated copy of a “master” PDB. Users may then perform a planned switchover between the PDBs inside of the container. When this happens the master PDB becomes the clone and the old clone the master. It’s important to point out that this feature is not using Data Guard; rather it extends the incremental cloning functionality we introduced in Oracle Database 12c Release 2. In Oracle Database 18c Multitenant also got some Data Guard Improvements. You can now automatically maintain standby databases when you clone a PDB on the primary. This operation will ensure that the PDB including all of its data files are created on the standby database. This significantly simplifies the process needed to provide disaster recovery for PDBs when running inside of a container database. We also have made it possible to clone a PDB from a Active Data Guard Standby. This feature dramatically simplifies the work needed to provide copies of production databases for development environments. Multitenant also got a number of small improvements that are still worth mentioning. We now support the use of backups performed on a PDB prior to it being unplugged and plugged into a new container. You can also expect upgrades to be quicker under Multitenant in Oracle Database 18c. Security The Oracle Database is widely regarded as the most secure database in the industry and we continue to innovate in this space. In Oracle Database 18c we have added a number or small but important updates. A simple change that could have a big impact for the security of some databases is the introduction of schema only accounts. This functionality allows schemas to act as the owners of objects but not allow clients to log in potentially reducing the attack surface of the database. To improve the isolation of Pluggable Databases (PDBs) we are adding the ability for each PDB to have its own key store rather than having one for the entire container. This also simplifies the configuration of non-container databases by introducing explicit parameters and hence removing the requirement to edit the sqlnet.ora file A welcome change for some Microsoft users is the integration of the Oracle Database with Active Directory. Oracle Database 18c allows Active Directory to authenticate and authorize users directly without the need to also use Oracle Internet Directory. In the future we hope to extend this functionality to include other third-party LDAP version 3–compliant directory services. This change significantly reduces the complexity needed to perform this task and as a result improves the overall security and availability of this critical component. Data Warehousing Oracle Database 18c’s support for data warehousing got a number of welcome improvements. Whilst machine learning has gotten a lot of attention in the press and social media recently it’s important to remind ourselves that the Oracle Database has had a number of these algorithms since Oracle 9i.  So, in this release we’ve improved upon our existing capability by implementing some of them directly inside of the database without the need for callouts, as well as added some more. One of the compromises that data warehouse users have had to accept in the past was that if they wanted to use a standby database, they couldn’t use no-logging to rapidly load data into their tables. In Oracle Database 18c that no longer has to be the case. Users can make a choice between two modes whilst accommodating the loading of non-logged data. The first ensures that standbys receive non-logged data changes with minimum impact on loading speed at the primary but at the cost of allowing the standby to have transient non-logged blocks. These non-logged blocks are automatically resolved by managed standby recovery. And the the second ensures all standbys have the data when the primary load commits but at the cost of throttling the speed of loading data at the primary, which means the standbys never have any non-logged blocks. One of the most interesting developments in Oracle Database 18c is the introduction of Polymorphic table functions. Table functions are a popular feature that enables a developer to encapsulate potentially complicate data transformations, aggregations, security rules etc. inside of a function that when selected from returns the data as if it was coming from a physical table. For very complicated ETL operations these table functions can be pipelined and even executed in parallel. The only downside of this approach was that you had to declare the shape of the data returned as part of the definition of the function i.e. the columns to be returned. With Polymorphic tables, the shape of the data to be returned is determined by the parameters passed to the table function. This provides the ability for polymorphic table functions to be more generic in nature at the cost of a little more code. One of my personal favorite features of this release is the ability to merge partitions online. This is particularly useful if you partition your data by some unit of time e.g. minutes, hours, days weeks and at some stage as the data is less frequently updated you aggregate some of the partitions into larger partitions to simplify administration. This was possible in previous versions of the of the database, but the table was inaccessible whilst this took place. In Oracle Database 18c you merge your partitions online and maintain the indexes as well. This rounds out a whole list of online table and partition operations that we introduced in Oracle Database 12c Release 1 and Release 2 e.g. move table online, split partition online, convert table to partition online etc. For some classes of queries getting a relatively accurate approximate answer fast is more useful than getting an exact answer slowly. In Oracle Database 12c we introduced the function APPROX_COUNT_DISTINCT which was typically 97% or greater but can provide the result orders of magnitudes faster. We added additional functions in Oracle Database 12c Release 2 and in 18c we provide some additional aggregation (on group) operations APPROX_COUNT(), APPROX_SUM() and APPROX_RANK(). Oracle Spatial and Graph also added some improvements in this release. We added support for Graphs in Oracle Database 12c Release 2. And now in Oracle Database 18c you can use Property Graph Query Language (PGL) to simplify the querying of the data held within them. Performance was also boosted with the introduction of support for Oracle In Memory and List Hash partitioning. We also added a little bit of syntax sugar when using external tables. You can now specify the external table definition inline on an insert statement. So no need to create definitions that are used once and then dropped anymore. Development As you’d expect there were a number of Oracle Database 18c improvements for developers, but we are also updating to our tools and APIs. JSON is rapidly becoming the preferred format for application developers to transfer data between the application tiers. In Oracle Database 12c we introduced support that enabled JSON to be persisted to the Oracle Database and queried using dot notation. This gave developers a no compromise platform for JSON persistence with the power and industry leading analytics of the Oracle Database. Developers could also treat the Oracle Database as if it was a NoSQL Database using the Simple Oracle Document Access (SODA) API. This meant that whilst some developers could work using REST or JAVA NoSQL APIs to build applications, others could build out analytical reports using SQL. In Oracle Database 18c we’ve also added a new SODA API for C and PL/SQL and included a number of improvements to functions to return or manipulate JSON in the database via SQL. We’ve also enhanced the support for Oracle Sharding and JSON. Global Temporary Tables are an excellent way to hold transient data used in reporting or batch jobs within the Oracle Database. However, their shape, determined by their columns, is persisted across all sessions in the database. In Oracle Database 18c we’ve provide a more flexible approach with Private Temporary Tables. These allow uses to define the shape of the table that is only visible for a given session or even just a transaction. This approach provides more flexibility in the way developers write code and can ultimately lead to better code maintenance. Oracle Application Express, Oracle SQL Developer, Oracle SCLCl, ORDS have all been tested with 18c and in some instance get small bumps in functionality such as support for Sharding. We also plan to release an REST API for the Oracle Database. This will ship with ORDS 18.1 a little later this year. And One Other Thing… We’re also introducing a new mode for Connection Manager. If you’re not familiar with what Connection Manager (CMAN) does today, I’d recommend taking a look here. Basically, CMAN allows you to use it as a connection concentrator enabling you to funnel thousands of sessions into a single Oracle Database. With the new mode introduced in Oracle Database 18c, it’s able to do a lot more. It can now automatically route connections to surviving database resources in the advent of some outage. It can also redirect connections transparently if you re-locate a PDB. It can load-balance connections across databases and PDBs whilst also transparently enabling connection performance enhancements such as statement caching and pre-fetching. And it can now significantly improve the security of incoming connections to the database. All in all, an exciting improvement to a great networking resource for the Oracle Database. Where to get more information We’ve covered some of the bigger changes in Oracle Database 18c but there are many more that we don’t have space to cover here. If you want a more comprehensive list take a look at the new features guide here. https://docs.oracle.com/en/database/oracle/oracle-database/18/newft/new-features.html You can also find more information on the application development tools here http://www.oracle.com/technetwork/developer-tools/sql-developer/overview/index.html http://www.oracle.com/technetwork/developer-tools/rest-data-services/overview/index.html http://www.oracle.com/technetwork/developer-tools/sqlcl/overview/sqlcl-index-2994757.html http://www.oracle.com/technetwork/developer-tools/apex/overview/index.html If you’d like to try out Oracle Database 18c you can do it here with LiveSQL https://livesql.oracle.com/apex/livesql/file/index.html For More information on when Oracle Database 18c will be available on other platforms please refer to Oracle Support Document 742060.1

Today we have a guest blogger, Dominic Giles, Master Product Manager from Oracle Database providing us with insights into what to expect from Oracle Database 18c. Oracle Database 18c's arrival marks a...

Autonomous Data Warehouse Cloud

Oracle Data Management Solutions: Success From The Data Center To The Cloud

Oracle is off to a strong start in 2018. Industry analyst Gartner has recognized Oracle as a leader among 22 technology providers evaluated for their offerings in data management and analytic solutions. Gartner evaluates solution providers based on a variety of evaluation criteria including ability to execute and completeness of vision.  Based on these parameters, Gartner has published its latest February 2018 Magic Quadrant for Data Management Solutions for Analytics, and it is our opinion that Oracle stood out from the competition by offering truly meaningful technologies.  The announcement of Oracle Autonomous Database and Autonomous Data Warehouse Cloud enable Oracle to deliver new automation innovations in cloud based data management services   Figure-1: Gartner February 2018 Magic Quadrant for Data Management Solutions for Analytics The Oracle complete and unified data management portfolio that is highly automated provides customers a seamless path to the cloud.  As a customer becomes familiar and finds value in the Oracle Database or Oracle Database Cloud Service, there is a natural expansion into common cloud services such as database backup or IaaS, but also data monetization solutions such as data warehousing, BI, analytics or even big data.  Figure-2: Oracle Solutions For the Data Life-Cycle One of the big challenges for customers is that many public cloud providers lack support for a true hybrid-cloud deployment, which is the model that is predicted to be the norm for most organizations by the end of 2018.   Oracle offers true enterprise grade cloud solutions that are engineered for a 100% compatible hybrid-cloud deployment.  Whether your business requires data to remain on-premises, managed inside your data center or deployed in the cloud, with Oracle you have access to the same enterprise scale data management technology virtually anywhere.   Read the Gartner report: http://www.gartner.com/reprints/?id=1-4O3NVDI&ct=180109&st=sb For more information on Oracle Data Management Cloud Services please visit us at - https://cloud.oracle.com/en_US/data-management Gartner Magic Quadrant for Data Management Solutions for Analytics, Adam M. Ronthal, Roxane Edjlali, Rick Greenwald, 13 February 2018. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Oracle. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Oracle is off to a strong start in 2018. Industry analyst Gartner has recognized Oracle as a leader among 22 technology providers evaluated for their offerings in data management and analytic...

Autonomous Data Warehouse Cloud

CloudWorld NYC 2018: Data Management Cloud Keynote, Sessions and Activities

Oracle CloudWorld 2018, New York City, is nearly upon us.  To attend the event, please register here. Oracle’s Data Management Cloud Services will have a significant presence at CloudWorld with the following sessions. Keynote “Revolutionize Your Data Management with World's 1st Autonomous Database” with  Monica Kumar, Vice President, Oracle - 11:20 a.m. – 11:50 a.m. - New York Ballroom West, Third Floor “The Autonomous Data Warehouse Cloud – Simplifying the Path to Innovation” with George Lumpkin, Vice President, Oracle and Edgar Haren, Product Marketing, Oracle - 12:40 p.m. – 1:10 p.m. - New York Ballroom West, Third Floor “Move Your Workloads: No Pain, Lots of Gain” with Sachin Sathaye, Senior Director Oracle, Zach Vinduska, Vice President of IT and Infrastructure, ClubCorp and Arvind Rajan, Entrepreneur and Architect, Astute Join Monica Kumar, Vice President of Oracle Cloud Platform Product Marketing, in the keynote session as she discusses the rise of data as a valuable asset of your organization, and therefore your enterprise database, and what the impact it will have on the future success of your business. Whether you are looking to unlock the power of your application data or interested in integrating all your data and making it accessible to all employees, the Autonomous Database can offer significant advantages to your organization. The Oracle Autonomous Data Warehouse Cloud session explores how this new solution can help customers easily and rapidly deploy data warehouse or data-marts to gain faster insights from their business-critical data.  This session examines common customer challenges with traditional data warehouse deployments, while detailing the value of the Autonomous Data Warehouse Cloud autonomous life-cycle and the features aimed at helping overcome these obstacles.  In addition, attendees will learn how Oracle’s new data management solution fits into a complete ecosystem consisting of business analytics, data integration, visualization, IoT and more. Considering moving your workloads to the cloud? The third session brings customers to the forefront with leaders from ClubCorp and Astute discussing their individual cloud migration experiences.  Hear how and why these organizations decided to “Lift and Shift” their IT deployments to Oracle Cloud.  Also find out why Astute decided to migrate their existing cloud deployment off of Amazon Web Services for Oracle.  This session will also cover the key benefits gained by the customers with tangible metrics on TCO and performance.  Learn from Oracle leadership and customers the value of moving your workloads to Oracle Cloud.   To see the Autonomous Data Warehouse demo and how you can lift and shift your applications, visit us in the demo area and mini-theatre on the show floor.  Talk to Oracle experts in this area. See you in New York City! Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Oracle CloudWorld 2018, New York City, is nearly upon us.  To attend the event, please register here. Oracle’s Data Management Cloud Services will have a significant presence at CloudWorld with the...

Autonomous Database

Oracle Releases Database Security Assessment Tool: A New Weapon in the War to Protect Your Data

Evaluate your database security before hackers do it for you!!   Today, we have guest blogger  -   Vipin Samar, Senior Vice President, Oracle Data is a treasure. And in my last 20 years of working in security, I’ve found that hackers have understood this better than many of the organizations that own and process the data. Attackers are relentless in their pursuit of data, but many organizations ignore database security, focusing only on network and endpoint security. When I ask the leaders responsible for securing their data why this is so, the most frequent answers I hear are: Our databases are protected by multiple firewalls and therefore must be secure. Our databases have had no obvious breaches so far, so whatever we have been doing must be working. Our databases do not have anything sensitive, so there is no need to secure them.   And yet, when they see the results from our field-driven security assessment, the same organizations backtrack. They admit that their databases do, in fact, have sensitive data, and while there may be firewalls, there are very limited security measures in place to directly protect the databases. They are even unsure how secure their databases are, or if they have ever been hacked. Given the high volume of breaches, they realize that they must get ready to face attacks, but don’t  know where to start.   Assessing database security is a good first step but it can be quite an arduous task. It involves finding holes from various angles including different points of entry, analyzing the data found, and then prioritizing next steps.  With DBAs focused on database availability and performance, spending the time to run security assessments or to develop database security expertise is often not a priority.   Hackers, on the other hand, are motivated to attack and find the fastest way in, and then the fastest way out.  They map out the target databases, looking for vulnerabilities in database configuration and over privileged users, run automated tools to quickly penetrate systems, and then exfiltrate sensitive data without leaving behind much of a trail.     If this were a war between organizations and hackers, it would be an asymmetric one. In such situations, assessing your own weaknesses and determining vulnerable points of attack becomes very critical.   Assess First I am excited to announce availability of the Oracle Database Security Assessment Tool (DBSAT). DBSAT helps organizations assess the security configuration of their databases, identify sensitive data, and evaluate database users for risk exposure.  Hackers take similar steps during their reconnaissance, but now organizations can do the same – and do it first. DBSAT is a simple, lightweight, and free tool that helps Oracle customers quickly assess their databases.  Designed to be used by all Oracle database customers in small or large organizations, DBSAT has no dependency on other tools or infrastructure and needs no special expertise.  DBAs can download DBSAT and get actionable reports in as little as 10 minutes. What can you expect DBSAT to find?  Based upon decades of Oracle’s field experience in securing databases against common threats, DBSAT looks at various configuration parameters, identifies gaps, discovers missing security patches, and suggests remediation. It checks whether security measures such as encryption, auditing, and access control are deployed, and how they compare against best practices.  It evaluates user accounts, roles, and associated security policies, determining who can access the database, whether they have highly sensitive privileges, and how those users should be secured. Finally, DBSAT searches your database metadata for more than 50 types of sensitive data including personally identifiable information, job data, health data, financial data, and information technology data. You can also customize the search patterns to look for sensitive data specific to your organization or industry.  DBSAT helps you not only discover how much sensitive data you have, but also which schemas and tables have them. With easy-to-understand summary tables and detailed findings, organizations can quickly assess their risk exposure and plan mitigation steps.  And all of this can be accomplished in a few minutes, without overloading valuable DBAs or requiring them to take special training. Reviewing your DBSAT assessment report may be surprising – and in some cases, shocking – but the suggested remediation steps can improve your security dramatically.    Privacy Regulations and Compliance DBSAT also helps provide recommendations to assist you with regulatory compliance. This includes the European Union General Data Protection Regulation (EU GDPR) that calls for impact assessments and other enhanced privacy protections.  Additionally, DBSAT highlights findings that are applicable to EU GDPR and the Center for Internet Security (CIS) benchmark.   Nothing could be Easier Oracle is a leader in preventive and detective controls for databases, and now with the introduction of DBSAT, security assessment is available to all Oracle Database customers. I urge you to download and try DBSAT – after all, it’s better that you assess your database’s security before the hackers do it for you!

Evaluate your database security before hackers do it for you!!   Today, we have guest blogger  -   Vipin Samar, Senior Vice President, Oracle Data is a treasure. And in my last 20 years of working...

Database

Why Move SAP Applications to Oracle Cloud?

Today we have guest blogger, Bertrand Matthelie, Senior Principal Product Marketing Director, providing us with insights into the value of migrating your SAP applications to Oracle Cloud. SAP NetWeaver-based applications have last year been certified on Oracle Cloud Infrastructure. NetWeaver-based applications represent most of the deployed SAP applications, and the majority of them are powered by Oracle databases. Indeed, while SAP is encouraging customers to move to S/4HANA, a Rimini Street survey shows that 65% of them have no plans to do so. They’re unable to build a business case, deem the ROI unclear, consider S/4HANA to be an unproven, early stage product, and face significant migration & implementation costs. Most customers want instead to keep running their existing proven SAP applications that they spent years customizing to their needs. At the same time however, they face pressure to reduce costs and improve agility to better support the business. Digital disruption is hard at work in all industries and organizations are looking for ways to shift resources from maintenance to innovation. Up to 80% of IT budgets can be spent on “keeping the lights on”; moving enterprises applications to the cloud represents an attractive way to reduce costs, free up resources and focus on higher value activities than infrastructure management. Moving SAP applications & Oracle Databases to Oracle Cloud enables customers to preserve existing investments while accelerating innovation, relying on the only cloud architected for enterprise workloads and optimized for Oracle Database. Key benefits include: High and predictable performance for SAP/enterprise applications with dedicated bare metal instances as well as high performance network and storage resources. Best Oracle Database performance: As demonstrated in a recent Accenture report focused on running enterprise workloads in the cloud, Oracle databases run up to 7.8x faster on Oracle Cloud Infrastructure (OCI) vs leading cloud provider. Lower costs & transparency: The Accenture report also demonstrates that customers can benefit from up to 34% lower infrastructure costs for their SAP/enterprise workloads relying on OCI vs leading cloud provider. Additionally, there are no hidden costs with Oracle Cloud, and Universal Credits allow you to benefit from simple, flexible and predictable pricing. Security and governance: Compute and network isolation help ensure data security; Compartment capabilities coupled with identity and access management and audit allow visibility and control for your SAP deployments. Complete & integrated cloud, enabling you to leverage Oracle’s most comprehensive PaaS & SaaS offering to for example connect your existing SAP applications to SaaS modules from any provider, or to extend your SAP applications with mobile interfaces or chatbots. According to the Rimini Street survey mentioned earlier, 30% of surveyed SAP customers look to augment their existing platforms with cloud applications for innovation. Various resources to learn more are at your disposal, discover now how you can ensure business continuity, reduce costs and accelerate innovation! Let us know if you have any question or comment. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have guest blogger, Bertrand Matthelie, Senior Principal Product Marketing Director, providing us with insights into the value of migrating your SAP applications to Oracle Cloud. SAP...

Autonomous Database

Oracle Ask TOM Office Hours Now Live!

Hundreds of thousands of companies around the world rely on Oracle Database to power their mission-critical applications. Millions of developers and administrators rely on the Oracle Database dev team to provide them with the tools and knowledge they need to succeed. AskTOM Office Hours continues the pioneering tradition of Ask TOM. Launched in 2000 by Tom Kyte, the site now has a dedicated team who answer hundreds of questions each month. Together they’ve helped millions of developers understand and use Oracle Database. AskTOM Office Hours takes this service to the next level, giving you live, direct access to a horde of experts within Oracle. All dedicated to helping you get the most out of your Oracle investment. To take advantage of this new program, visit the Office Hours home page and find an expert who can help. Sign up for the session and, at the appointed hour, join the webinar. There you can put your questions to the host or listen to the Q&A of others, picking up tips and learning about new features. Have a question about upgrading your database? Sign up for Mike Dietrich and Roy Swonger's session. Struggling to make sense of SQL analytic functions? AskTOM's very own Connor McDonald and Chris Saxon will be online each month to help. JSON, Application Express, PL/SQL, In-Memory, Multitenant...if you've got a question, we've got an expert with an answer, and they're just a URL away. Our experts live all over the globe. So even if you inhabit Middleofnowhereland, you’re sure to find a time-slot that suits you. You need to make the most of Oracle Database and its related technologies. It's our job to make it easy for you. So visit https://asktom.oracle.com/pls/apex/f?p=100:500 and sign up for your sessions.  AskTOM Office Hours: Dedicated to Customer Success Resources: Announcement Topic Page Larry Keynote Larry Demonstrates how AWS is 5x-13x more expensive video iPaper: Oracle Autonomous Data Warehouse Cloud (PDF) Podcast: Oracle Autonomous Data Warehouse Cloud (9:35) Oracle Autonomous Data Warehouse Cloud  Animated Video Oracle Autonomous Data Warehouse Cloud  Executive Video Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Hundreds of thousands of companies around the world rely on Oracle Database to power their mission-critical applications. Millions of developers and administrators rely on the Oracle Database dev team...

Autonomous Database

Forecast the Cost Benefits of Oracle Database Cloud Service with the New TCO Calculator

When looking to migrate a workload to the cloud, one of the first business challenges can be quantifying the business value of the proposed move to the cloud. Many organizations are looking for tools that will help them build the business case for their management.  Oracle's Data Management Cloud Services team has recently launched their new Total Cost of Ownership calculator to help organizations get a detailed break-down of the potential cost savings they would see by moving their on-premises database deployments to Oracle's Database Cloud Service.  The TCO calculator will provide side-by-side compares with an equivalent on-premises deployment, as well as proving a detailed report of one's potential costs savings by compute, storage, software and facility expenditures. Here are the simple steps to using the new tool - 1. First, go to the TCO Tool by clicking here: 2. Once there click on the "Start Now" arrow 3. Now, you will need to input your company name, select a location and a currency type 4. Following step #3, you will simply need to input your on-premises core and storage values.  I have used 32 cores and 20TB for this demo.  As you can see, you will immediately get a snap-shot to the right of your potential savings via Oracle Cloud.  You can now click on the Blue tab to see a detailed break down of the assumptions used in the calculator, and to edit any metrics.  For instance, the calculator is pre-set at a 3YR TCO calculation, but one could enter into the editing fields and change the value to a single year.  Once ready, you can also click on the Orange tab to see and download the detailed report. 5. In the next frame, you will see the detailed breakdown by cost segment, and a synopsis on the top, as well as graphical depiction to the left.  Users can still edit the sections or finally go to the view results tab. 6.  Once you click on "view results" you will come to the download page.  Here you will have the option to access other informational assets, or continue to the download the detailed PDF report of your results. Your detailed report will provide you with graphical representations as well as a full break-down of the assumptions and metrics used to calculate the TCO results. I hope you find the tool helpful, and for more information on Oracle's Data Management Cloud Services, please see the links below.   Resources: Announcement Topic Page Larry Keynote Larry Demonstrates how AWS is 5x-13x more expensive video iPaper: Oracle Autonomous Data Warehouse Cloud (PDF) Podcast: Oracle Autonomous Data Warehouse Cloud (9:35) Oracle Autonomous Data Warehouse Cloud  Animated Video Oracle Autonomous Data Warehouse Cloud  Executive Video Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

When looking to migrate a workload to the cloud, one of the first business challenges can be quantifying the business value of the proposed move to the cloud. Many organizations are looking for tools...

The new SQL/JSON Query operators (Part1): JSON_VALUE

The simplified syntax shown in the last blog allows easy but limited functionality to work with JSON data. This is why Oracle has added more powerful SQL operators to work with JSON data. Starting with database release 12.1.0.2 Oracle provides these new SQL operators: JSON_VALUE:  to select one scalar value in the JSON data and return it to SQL. (JSON_VALUE is the ‘bridge’ from a JSON value to a SQL value). JSON_EXISTS: a Boolean operator typically used in the WHERE clause to filter rows based on properties in the JSON data. JSON_QUERY: an operator to select (scalar or complex) value in the JSON data. In contrast to JSON_VALUE which always returns one scalar value, JSON_QUERY returns a nested JSON fragment (object or array). With JSON_QUERY a user can also select multiple values and have them wrapped inside a JSON array. JSON_TABLE: the most powerful operator that exposes JSON data as a relational view. With JSON_TABLE you can turn your JSON data into a relational representation.  All operators have in common that they accept one (or more) path expressions to select values or fragments in the JSON data. The operators have an ‘error handler’ which specified what to do in case an error is encountered, and options how selected values are being returned. (You will see more vendors supporting these operators since they're now part of the SQL 2017 standard.) Before we look at the operators let’s create a table and insert some sample data. DROP TABLE colorTab; CREATE TABLE colorTab (color VARCHAR2(32767), CONSTRAINT ensure_json CHECK (color IS JSON STRICT)); INSERT INTO colorTab VALUES('  {   "name": "black",   "rgb": [0,0,0],   "hex": "#000000"  } '); INSERT INTO colorTab VALUES('  {   "name": "orange red",   "rgb": [255,69,0],   "hex": "#FF4500"  } '); INSERT INTO colorTab VALUES(' { "name": "dark orange", "rgb": [255,140,0], "hex": "#FF8C00" }'); commit; Now, let’s look at the new operator  JSON_VALUE. I will explain error handlers and other concepts in a little more in detail, this makes this posting a bit longer. But since these concepts also apply for the other operators it makes sense to present them properly. Lets run this Select statement: SELECT JSON_VALUE(color, '$.name') from colorTab; --------------------------------------------------------- black  orange red dark orange This query expression is probably the simplest version of a JSON_VALUE expression. The first argument (color) to the JSON_VALUE operator is the input (column name) which provides the JSON data – in this case it is the column named ‘color’.  Typically the input is a column name of a table in the FROM clause.   The second parameter ('$.name') is a path expression. A path expression always starts with ‘$’. ('$' alone refers to the input data, later I will show how you can pass variables and refer to them using '$var'...). After this you use dots and square brackets (similar to JavaScript) to navigate inside to the desired key/value pair. As a regular SQL operator, JSON_VALUE can also be used outside the SELECT list, for instance in the WHERE clause or ORDER BY clause and combined with other SQL operators. Let’s illustrate this in the next example: SELECT    JSON_VALUE(color, '$.hex'),   JSON_VALUE(color, '$.name') FROM colorTab WHERE UPPER(JSON_VALUE(color, '$.name')) like '%ORANGE%' ORDER BY JSON_VALUE(color, '$.name'); This returns JSON_VALUE(color, '$.hex') JSON_VALUE(color, '$.name') #FF8C00  dark orange #FF4500 orange red   The default output of JSON_VALUE is a VARCHAR2(4000). Since names of colors are typical much shorter than 4000 characters lets make the output shorter. For this we use the (optional) RETURNING clause: SELECT JSON_VALUE(color, '$.name' RETURNING VARCHAR2(10)) from colorTab; ------------------------------------- black orange red NULL  What happens now? We only see two colors (‘black’ and ‘orange red’) . Instead of ‘dark orange’ we see a NULL. Why is that?  The color's name (dark orange) does not fit into the 10 character wide output we specified. We encountered an error but the default error handler suppressed it and gave us a NULL instead. At this point we have four options: Bump the output to a larger value, e.g VARCHAR2(20) so that 'dark orange' fits. Truncate the output. This gives us a partial value instead of NULL. This *may* be useful in *some* use cases. FROM colorTab; Now the result is 'dark orang'    instead of NULL   (e is missing, got truncated)  Tell the error handler to not suppress the error but raise it instead SELECT JSON_VALUE(color, '$.name' RETURNING VARCHAR2(10) DEFAULT '#BADCOLOR#' ON ERROR)  FROM colorTab;  We now should see #BADCOLOR# instead of the NULL value.   RETURNING CLAUSE The RETURNING clause also allows us to return non-textual values, for instance a number: SELECT JSON_VALUE(color, '$.rgb[0]' RETURNING NUMBER) "RED", JSON_VALUE(color, '$.rgb[1]' RETURNING NUMBER) "GREEN", JSON_VALUE(color, '$.rgb[2]' RETURNING NUMBER) "BLUE" FROM colorTab; RED GREEN BLUE 0 0 0 255 69 0 255 140 0       Please note that this example also shows how an array access is specified in a path expression using the square brackets [], like in JavaScript. Other return data types you can chose from include RAW, DATE and TIMESTAMP (there is no format clause for Date and Timestamp!!, the date has to follow ISO 8601 format(http://en.wikipedia.org/wiki/ISO_8601)). SELECT JSON_VALUE ('{"created" : "2015-04-29T15:16:55"}', '$.created' RETURNING TIMESTAMP) FROM DUAL; --------------------------------------------------------------------------- 29-APR-15 03.16.55.000000 PM The last output might look differently for you if you NLS settings are different than mine.  Dates, Timestamps  You may ask now why there is there no format clause? The reason is that JSON has no syntax to represent a date. So in JSON a date would be represented as a string. If different formats were used the JSON date value would not be self-contained anymore, one would need additional information to interpret it. We believe that this has the potential of creating headaches down the road where people misinterpret dates (e.g. “2-1-2015” is February, 1st in the USA but 2nd January in Germany or Mexico). Therefore we strongly recommend to only use one format (ISO 8601). Booleans The opposite situation exists for Boolean values: JSON supports those. Oracle SQL does not. We return these values as VARCHAR2 strings: SELECT JSON_VALUE('{"a":true}', '$.a') FROM DUAL; ---------------------------------------------- true   You find more information int the JSON Developer's Guide: https://docs.oracle.com/en/database/oracle/oracle-database/12.2/adjsn/toc.htm

The simplified syntax shown in the last blog allows easy but limited functionality to work with JSON data. This is why Oracle has added more powerful SQL operators to work with JSON data. Starting...

First Steps with JSON: Simple Queries

In the previous posting of this series we learned how to store JSON data in the Oracle database. Now let’s query it. First let’s run these statements to  create a table and inserts two rows with JSON data: DROP TABLE colorTab; CREATE TABLE colorTab (     id NUMBER,      color VARCHAR2(32767),     CONSTRAINT ensure_json CHECK (color IS JSON)); INSERT INTO colorTab VALUES(1, '  {   "name":"black",   "rgb":[0,0,0],   "hex":"#000000"  } '); INSERT INTO colorTab VALUES(2, '  {   "name": "orange red",   "rgb":[255,69,0],   "hex": "#FF4500"  }'); commit;   You query the data by simple 'dotting' you way to the desired field to select the associated value. This is basically the same as you would do it in Java Script.   SELECT c.color.name from colorTab c; NAME -------------------------------------------------------------------------------- black orange red returns us two rows with the values ‘black’ and ‘orange red’. Please note that in the SELECT clause ‘c’ is the table alias, ‘color’ is the column name and ‘name’ is a field inside the JSON data. SELECT  c.color.rgb[0] "RED",  c.color.rgb[1] "GREEN",   c.color.rgb[2] "BLUE"  FROM colorTab c; This returns values of the three color components Red, Green and Blue in a table that has a separate column for each component: RED GREEN BLUE 0 0 0 255 69 0   So what happens if we use a key name that does not exist in the data, let’s say ‘description’? SELECT c.color.description from colorTab c; We get back a NULL value. No error message. This is because in many JSON use cases there are optional fields which do not exist in every instance . It would be inconvenient if such flexible schema would force us to write different queries. This is why we return NULL for such a case (you will learn later how such an error can be reported). The simplified syntax also allows us to select a complex value (i.e. an inner array or object). select c.color.rgb from colorTab c; will return the whole array as a value for each row. RGB -------------------------------------- [0,0,0] [255,69,0]   The simplified syntax works very well for simple queries like the one illustrated above but it comes with some limitations: The output is always a VARCHAR2(4000). Any error will be masked by NULL. And it requires the presence of the check constraint that marks a column as a JSON column. For more generic JSON processing we have added a set of new operators that I will describe in the next posting. You find the JSON developer's Guide here: https://docs.oracle.com/en/database/oracle/oracle-database/12.2/adjsn/toc.htm

In the previous posting of this series we learned how to store JSON data in the Oracle database. Now let’s query it. First let’s run these statements to  create a table and inserts two rows with JSON...

Big Data

Storing JSON data in the Oracle database

In this posting  you learn how to: Store JSON data in the Oracle Database Pick a good data type for your JSON data Identify rows and columns  that contain JSON data Ensure that only JSON data can be inserted into a table Find all columns that store JSON data Prerequisites: You need the Oracle Database Release 12.1.0.2 or later Ensure that the COMPATIBLE init.ora parameter is set to 12.1.0.2 or later (you may see an error message otherwise) To learn about JSON visit [http://json.org/ or http://en.wikipedia.org/wiki/JSON] Oracle stores JSON data using existing data types. This allows you to choose the best data type for you use case and use existing clients. Also you get cross functional completeness right away (import export, partitioning, replication, etc). JSON can be stored as VARCHAR2 (up to 32767 bytes), CLOB and BLOB.  CLOB and BLOB have no length limitations. Internally, CLOB encodes characters as UCS2 (similar to UTF16) which means every character takes up two bytes. BLOB does not perform such re-encoding but instead stores the Unicode (UTF8) bytes unmodified - thus requiring half the storage size for ASCII characters, and half the IO to load it. For this example we use VARCHAR2 as data type. In our example we store a list of color names and their codes.  CREATE TABLE colorTab (     id NUMBER,      color VARCHAR2(32767)   );  (In order to allow the 32k length for VARCHAR2 the init.ora parameter MAX_STRING_SIZE has to be set to EXTENDED. See [https://docs.oracle.com/database/121/REFRN/refrn10321.htm#REFRN10321]. Or replace 32767 with 4000). Let's insert a few rows: INSERT INTO colorTab VALUES(1, '  {   "color": "black",   "rgb": [0,0,0],   "hex": "#000000"  } '); INSERT INTO colorTab VALUES(2, '  {   "color": "orange red",   "rgb": [255,69,0],   "hex": "#FF4500"  } '); INSERT INTO colorTab VALUES(3, '  {   color: "gold",   "rgb": [255,215,0],   "hex": "#FFD700 "  } '); INSERT INTO colorTab VALUES(4, 'I am not valid JSON'); COMMIT; As one can see the last insert statement inserts data that is not syntactically correct JSON. How can we identify such a rows? And how can we prevent invalid JSON from being inserted in the first place? This brings us to the first new JSON operator: ‘IS JSON’. It allows us to filter column values. SELECT id, color FROM colorTab WHERE color IS JSON; (Instead of 'IS JSON' one can use 'IS NOT JSON' to find all rows which are not JSON.) If you look carefully at the third row (gold) you’ll see that the field name ‘color’ is not inside quotes. Technically, this makes the data invalid JSON because key names need to be enquoted but not everyone follows that rule. The IS JSON operator still accepts this row as JSON because our JSON parser by default runs in a tolerant mode. But not every JSON tool accepts unquoted names (try out http://jsonlint.com/). So for JSON you're sending to others you may want to be extra nice and make sure it complies to all rules. You can do this by running IS JSON in a strict mode: SELECT id, color FROM colorTab WHERE color IS JSON STRICT; The JSON specification (unfortunately) says nothing about duplicate key names within the same object. For instance this is technically valid JSON although it has two keys with the name name. {   "color": "black",   "rgb": [0,0,0],   "hex": "#000000",   "color": "white" } Again, try this out in  http://jsonlint.com/, In our experience duplicate key names occur vary rarely but if they do they are big troublemakers. So how can we avoid them? The clause ‘WITH UNIQUE KEYS’ checks that keys are not repeated within the same object level (keys with the same name can occur at multiple places in the data but not in the same object). SELECT id, color FROM colorTab WHERE color IS JSON STRICT WITH UNIQUE KEYS; (Checking for unique keys comes at a price. It slows down IS JSON because names have to me memorized and checked for duplicates. So use it carefully!)   So now that we understand IS JSON how can we use it to prevent non-JSON data to be inserted into our table in the first place?  The answer is a check constraint. Lets add a constraint to our table:   TRUNCATE TABLE colorTab; ALTER TABLE colorTab ADD CONSTRAINT ensure_json CHECK (color IS JSON);   Now, when inserting any non-JSON row will be rejected with ORA-02290: check constraint (SYS.ENSURE_JSON) violated   Also, since we have added a IS JSON check constraint the table/column will show up in a new dictionary view: SELECT * FROM USER_JSON_COLUMNS; TABLE_NAME COLUMN_NAME FORMAT DATA_TYPE COLORTAB COLOR TEXT VARCHAR2           The view's are named USER_JSON_COLUMNS, DBA_JSON_COLUMNS and ALL_JSON_COLUMNS. They rely on the presence of an IS JSON check constraint.  This is the first posting on this blog about JSON. You'll find the JSON Developer's Guide here: https://docs.oracle.com/en/database/oracle/oracle-database/12.2/adjsn/toc.htm

In this posting  you learn how to: Store JSON data in the Oracle Database Pick a good data type for your JSON data Identify rows and columns  that contain JSON data Ensure that only JSON data can be...

Big Data

Weekly Live Demo Webcast Series: Oracle Autonomous Data Warehouse Cloud

The Oracle data management cloud marketing and product management teams are excited to bring you a weekly webcast series focused on the newly announced Oracle Autonomous Data Warehouse Cloud. The Oracle Autonomous Data Warehouse Cloud is the first of Oracle’s upcoming Autonomous Database services. Join us for a live demo every week and see how quick and easy you can provision a data warehouse on Oracle Cloud. This is a weekly webcast series. Each week, we will present a live walk through of this cloud service and highlight use cases that can help you unleash the power of your data. The demo will cover the following topics: Provisioning a new data warehouse Connecting tools and SQL clients Creating users Loading data Running queries on external data Scaling the service Monitoring the service   Presenter: Yasin Baskan, Senior Principal Product Manager, Oracle Autonomous Data Warehouse Held every Tuesday, 9:00 a.m. PT/12:00 p.m. ET (except on 12/26 and 1/02). Join the next live demo. Tue., December 19, 2017 Tue., January 9, 2018 Tue., January 16, 2018 Tue., January 23, 2018 Tue., January 30, 2018 Tue., February 6, 2018 Tue., February 13, 2018 To register for the event please click here Other Resources: Announcement Topic Page Larry Demonstrates how AWS is 5x-13x more expensive video Your New Autonomous Data Warehouse eBook iPaper: Oracle Autonomous Data Warehouse Cloud (PDF) Oracle Versus Commodity Cloud Vendors Competitive Solution Brief 2017 Oracle Autonomous Data Warehouse Cloud  Animated Video Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

The Oracle data management cloud marketing and product management teams are excited to bring you a weekly webcast series focused on the newly announced Oracle Autonomous Data Warehouse Cloud. The...

Customer Stories

Oracle OpenWorld 2017 Data Management PaaS Customer & Partner Stories Part-One

This year we had a great collection of customer and partner videos, so many in fact, that I am making this a two part blog: First let's take a look at some customer videos:   Calypso Technology, Inc. is a leading provider of cross-asset, front-to-back technology solutions for financial markets. With 20 years of experience delivering cross-asset solutions for trading, processing, risk management and accounting, we are able to focus our significant resources on customer problems, bringing simplicity to the most complex business and technology issues.  The constant pressures for better allocation of capital and improved risk management, matched by an ever changing regulatory landscape in the financial markets demand technology solutions that are reliable, adaptable and scalable. In response Calypso provides customers with a single platform designed from the outset to enable consolidation innovation and growth. In this video Vikram Pradham, Sr. Director of Engineering discusses how Oracle Cloud helps Calypso meet demanding customer SLAs. FICO (NYSE: FICO) is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company’s groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimize operations and meet strict government regulations In this video Doug Clare, VP of Marketing, describes how Oracle Cloud and Oracle Exadata helped them extend the performance of one of their key money laundering and compliance applications.   Now let's take a look at what our partners are saying: Flexagon was founded in 2013 by a team who had spent their entire careers in roles related to custom software development, systems integration, product development and automation. Flexagon’s FlexDeploy is a market leading DevOps and Application Release Automation product that supports companies from the smallest contenders to the largest enterprises. Dan Goerdt, President at Flexagon, shares his key takeaways from Oracle OpenWorld 2017, including the announcements of universal credits for Oracle Cloud and the ability for customers to bring PaaS licenses from on-prem to the Cloud, as well as Oracle's ongoing investment in open source technologies such as Docker and Kubernetes, and how those news benefit Oracle and Flexagon customers.   For more than 25 years and across hundreds of successful implementations, Vlamis Software Solutions has been integrating Oracle’s business analytics solutions for many of America’s leading organizations. From large retailers to world-class financial institutions and from CPG manufacturers to the entertainment industry’s leading lights, Vlamis has delivered exceptional analytic insights and blazing performance. At Oracle OpenWorld 2017, Tim Vlamis, Oracle ACE and VP at Vlamis Software Solutions, shared his thoughts on the new Oracle Autonomous Data Warehouse Cloud and how it fits well with Oracle Analytics Cloud to deliver business value to customers immediately.   Viscosity is a recognized consulting firm and trusted advisor to many Fortune 500 organizations and is now a recognized Oracle Platinum Partner for our expertise in mitigating technical challenges and providing enterprise solutions. Recognized in the industry for their in-depth expertise in high availability solutions, database technologies, cloud readiness and migrations, application development, big data integration, and performance tuning; Viscosity supports thousands of mission critical and business critical databases all over the world. Nitin Vengurlekar, Oracle ACE Director and CTO at Viscosity, shares how he thinks Oracle Autonomous Data Warehouse can benefit modern organizations by offering deployment simplicity, high performance through pre-optimized configuration, and elasticity.   Stay tuned for further blogs sharing our customer and partner videos.  For more information please take a look at resources below, and also be sure to take a test drive on any of Oracle’s cloud services with free cloud-credits here. Resources: Announcement Topic Page Larry Keynote Larry Demonstrates how AWS is 5x-13x more expensive video iPaper: Oracle Autonomous Data Warehouse Cloud (PDF) Podcast: Oracle Autonomous Data Warehouse Cloud (9:35) Oracle Autonomous Data Warehouse Cloud  Animated Video Oracle Autonomous Data Warehouse Cloud  Executive Video Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

This year we had a great collection of customer and partner videos, so many in fact, that I am making this a two part blog: First let's take a look at some customer videos:   Calypso Technology, Inc. is...

Database

Oracle Revolutionizes Cloud with the World’s First Self-Driving Database

At Oracle OpenWorld, Oracle Chairman of the Board and CTO Larry Ellison unveiled his vision for the world’s first autonomous database cloud. Powered by Oracle Database 18c, the next generation of the industry-leading database, Oracle Autonomous Database Cloud uses ground-breaking machine learning to enable automation that eliminates human labor, human error, and manual tuning to enable unprecedented availability, high performance, and security at much lower cost. The new autonomous database was designed on a set of key tenets: Self-Driving: Provides continuous adaptive performance tuning based on machine learning.  Automatically upgrades and patches itself while running.  Automatically applies security updates while running to protect against cyberattacks. Self-Scaling: Instantly resizes compute and storage without downtime. Cost savings are multiplied because Oracle Autonomous Database Cloud consumes less compute and storage than Amazon, with lower manual administration costs. Self-Diagnosis: Automatically diagnoses root cause of performance issues, while keeping detailed performance and resource utilization history.  Real-time SQL monitoring automatically diagnoses how resources are used in SQL statements.  Scans for issues across all layers of stack using key diagnostic tools.  Oracle Engineering using Machine Learning to prevent issues from happening. Self-Repairing: Provides automated protection from downtime. SLA guarantees 99.995 percent reliability and availability, which reduces costly planned and unplanned downtime to less than 30 minutes a year. Self-Migration and Data Loading: Automated migration and data loading to the cloud using the tools below.  Database directly reads and loads flat file data from object store. Backup to Cloud Data Pump Export Data Guard Standby Golden Gate Self-Backup: Backups are scheduled on nightly basis to Oracle Database Backup Cloud Service.  Retention Time for backups is configurable. The Oracle Autonomous Database Cloud will be available for many different workload styles, including transactions, mixed workloads, data warehouses, graph analytics, departmental applications, document stores, and IoT workloads.  With built-in automation at all levels to perform maintenance tasks, companies can now use their valuable IT resources to focus on extracting more value from the data they currently manage to directly influence business opportunities and outcomes. In addition, Oracle also announced its latest data management cloud offering, the Autonomous Data Warehouse Cloud.  Oracle Autonomous Data Warehouse Cloud is a next-generation cloud service built on the self-driving Oracle Autonomous Database technology using machine learning to deliver unprecedented performance, reliability, and ease of deployment for data warehouses. As an autonomous cloud service, it eliminates error-prone manual management tasks and frees up DBA resources, which can now be applied to implementing more business projects. Highlights of the Oracle Autonomous Data Warehouse Cloud include: •     Simplicity: Unlike traditional cloud services with complex, manual configurations that require a database expert to specify data distribution keys and sort keys, build indexes, reorganize data, or adjust compression, Oracle Autonomous Data Warehouse Cloud is a simple “load and go” service. Users specify tables, load data, and then run their workloads in a matter of seconds – no manual tuning is needed. •     Industry-Leading Performance: Unlike traditional cloud services, which use generic compute shapes for database cloud services, Oracle Autonomous Data Warehouse Cloud is built on the high-performance Exadata platform. Performance is further enhanced by fully-integrated machine learning algorithms which drive automatic caching, adaptive indexing, and advanced compression. •     Instant Elasticity: Oracle Autonomous Data Warehouse Cloud allocates new data warehouses of any size in seconds and scales compute and storage resources independently of one another with no downtime. Elasticity enables customers to pay for exactly the resources that the database workloads require as they grow and shrink. Many customers are proving the value of data warehouses in the cloud through “sandbox” environments, line of-business data marts, and database backups.  More advanced monetization use cases include high-performance data management projects, data warehouses coupled with cloud computing analytics, and big data cloud implementation.  Oracle’s revolutionary Autonomous Database for Data Warehouse cloud service is the industry’s first solution for delivering business insights with unmatched reliability. Oracle is the market leader for data warehousing solutions.  Oracle Autonomous Database Cloud Service for Data Warehouse makes available a highly scalable solution to customers with the ease, simplicity, high-performance and security, value that only Oracle can deliver.  With Oracle, customers have deployment choice, and can preserve their existing investment while enabling new monetary opportunities for their most valuable asset -their data. For more information please take a look at resources below, and also be sure to take a test drive on any of Oracle’s cloud services with free cloud-credits here.   Resources: Announcement Topic Page Larry Keynote Larry Demonstrates how AWS is 5x-13x more expensive video iPaper: Oracle Autonomous Data Warehouse Cloud (PDF) Podcast: Oracle Autonomous Data Warehouse Cloud (9:35) Oracle Autonomous Data Warehouse Cloud  Animated Video Oracle Autonomous Data Warehouse Cloud  Executive Video Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

At Oracle OpenWorld, Oracle Chairman of the Board and CTO Larry Ellison unveiled his vision for the world’s first autonomous database cloud. Powered by Oracle Database 18c, the next generation of the...

Big Data

Oracle OpenWorld 2017 Key Sessions for Data Management Cloud Services

It's that time of year again, and Oracle OpenWorld is upon us.  Oracle OpenWorld is October 1–5, 2017, in San Francisco.  To attend OpenWorld 2017 please register here. Here is the exciting lineup of speakers: Below are links to Oracle Focus On Documents that detail specific sessions of interest for specific categories.  We have created FOD's for several of the primary use cases for Oracle's Data Management Platform.   - Focus on Moving Workloads to the Cloud: https://events.rainfocus.com/widget/oracle/oow17/1504907826863001TLXh - Focus on High Performance Oracle Database: https://events.rainfocus.com/widget/oracle/oow17/1504907827354001TdHH - Focus on Business Continuity and Recovery with Oracle Database: https://events.rainfocus.com/widget/oracle/oow17/1504907827095001TmTS - Focus on Analytics with Oracle Database: https://events.rainfocus.com/widget/oracle/oow17/1504907910673001Cxao - Focus on Oracle Database Consolidation: https://events.rainfocus.com/widget/oracle/oow17/1504907827454001TG7M - Focus on Data Management Solutions for Developers: https://events.rainfocus.com/widget/oracle/oow17/1504907827561001TtpI - Focus on Customer Stories for Oracle Database Cloud: https://events.rainfocus.com/widget/oracle/oow17/1505418112914001d3Do - Focus on Oracle Database Cloud Services: https://events.rainfocus.com/widget/oracle/oow17/1504907826765001TblN - Focus on Oracle Database Exadata Cloud Service: https://events.rainfocus.com/widget/oracle/oow17/1504907827253001T4Mv - Focus on Oracle In-Memory Technologies: https://events.rainfocus.com/widget/oracle/oow17/1504907911350001Clke   Resources: Oracle Versus Commodity Cloud Vendors Solution Brief Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

It's that time of year again, and Oracle OpenWorld is upon us.  Oracle OpenWorld is October 1–5, 2017, in San Francisco.  To attend OpenWorld 2017 please register here. Here is the exciting lineup of...

Customer Stories

Oracle And AT&T Leadership Discuss Their Massive Cloud Migration Deal

Today we have a great editorial from IT World that focuses on the details behind AT&T's massive migration to Oracle's Cloud. In this Q&A by IDG News Service Editor in Chief Marc Ferranti, we get the perspectives from Oracle's CEO Mark Hurd and AT&T Communications CEO John Donovan. Below is the article - If worries about digital transformation projects keep you up at night, imagine how it would feel to be responsible for moving thousands of internal databases to the cloud for a company with more than $160 billion in annual sales and 260,000 employees. That's the job that AT&T Communications CEO John Donovan is undertaking, and he's working with Oracle CEO Mark Hurd to do it.  When the companies announced in May that they were working together, Hurd called the agreement "historic." While hyperbole is part of everyday life in tech, lessons learned from the massive project are bound to reverberate across enterprises in a variety of fields, as Hurd noted in the following discussion with Donovan and IDG News Service Editor in Chief Marc Ferranti. AT&T, the biggest telecom company in the world by revenue, had already plunged into  virtualizing and software-controlling its wide area network. The goal is to virtualize 75 percent of its core network functions by 2020, hitting 55 percent by the end of this year. The move to bring its databases to the cloud, meanwhile, will allow it to knock down information silos, achieve greater operational efficiency and innovate new products and services. Oracle, meanwhile, has been knocked for being late to the cloud, allowing IaaS (infrastructure as a service) leaders like Amazon, Google and Microsoft to scoop up customers. But over the past year it introduced its Generation2 IaaS offering, forged ahead on regular updates to its SaaS (software as a service) line, and polished up its Cloud at Customer offering, which lets enterprises put data and applications behind their firewalls while taking advantage of cloud pricing models and technology. This was important for AT&T, which must be mindful of regulatory requirements for customer data.  In the following discussion, edited for publication, Hurd and Donovan talk about working together on what they (half-jokingly?) refer to as the lunatic fringe of digital transformation. IDG: “Collaboration” is a term sometimes used for basically straightforward business deals: a customer pays a vendor for products and services. You’ve called this a collaboration – in what sense is the Oracle-AT&T deal a true collaboration? John Donovan: In this case we didn’t buy what Mark was selling off the shelf. We didn’t look at where Oracle was. We looked at what we were trying to accomplish as a company, how vast the job at hand was, and then we looked at the evolution and the architecture of what Oracle was doing in their cloud strategy in order to find a territory where we could buy and they had to build. Oracle is going to address our specific need: How do you tear down a massive database and regionally distribute it so that you can be really fast in how you’re managing your IT application changes that rest on top of this data? Secondly, on our side, it changes fundamentally how we do things – we don’t have to waste our energy and time now on one by each for 40,000 databases deciding how we’re going to migrate to this new architecture. We created an economic construct and a technical construct that allows my team to focus on how you get it done instead of what are we gonna do and who are we gonna do it with. So I think we met at a point where Oracle has to build a world- class database roadmap to migrate an extremely large company from fixed databases to clouds. That in my view is what collaboration is defined as. IDG: Mark, did you have to change the underlying technology architecture of your infrastructure as a service offering or your platform as a service offering to get this deal done? Mark Hurd: Well we’ve rewritten all of our technologies including Database itself for the quote/unquote cloud, so that’s true with the new infrastructure offering, all of our platform offerings including Java analytics, Database, etcetera. Now in addition to that, to John’s point, we did some other things in this that were probably unique, meaning that we took what we do in the public cloud and we’re actually bringing that to AT&T – we do the patching, we do the managing, etcetera. And then we have a joint team together that’s doing the migration of many of these legacy databases that John described over to the modern database architecture. So it’s both R&D, product development, some unique things that we’re doing for ATT&T, to make all of this happen. IDG: So just to clarify  --   are the databases going to the public cloud or are they going to the Cloud at Customer offering. Or is it a combination of both? Donovan: From AT&T’s perspective, certain data has a regulatory requirement that it sit inside our walls. Other data is capable of being moved to Oracle’s cloud and being consumed as a service. In addition to just looking at databases we also looked at applications, and within applications, capabilities like AI and machine learning, where we could create derived data – and some has to sit on premises, some off. We’re comfortable that we’ve partitioned the things on prem that need to stay on prem. Then we have this added dimension of having this stuff secure in motion. So our data is secure at rest and it's secure in motion whether it is in our data center or in an Oracle facility . Hurd: That’s a really good description of the benefits of Cloud at Customer because you now have the same version of our public cloud that will actually be here at Customer Cloud so we can move data back and forth to the public cloud as AT&T so desires. It really gives us the benefit of taking all of these benefits of the cloud to the customer and the ability to burst and move data back and forth seamlessly as we go forward. One other point John brought up which I think is interesting is that it also gives us a platform now for all of our modern applications to sit on this infrastructure as well, integrated with AI, integrated with analytics.   For the rest of the article and interview, please be sure to visit the link below. Resources: Oracle's Hurd, AT&T's Donovan on their massive cloud migration deal full article Oracle Database Exadata Cloud Machine Product Page Oracle Versus Commercial Cloud Database Providers Competitive Solution Brief Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Analytics Cloud Product Page Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have a great editorial from IT World that focuses on the details behind AT&T's massive migration to Oracle's Cloud. In this Q&A by IDG News Service Editor in Chief Marc Ferranti, we get the...

Big Data

Big Data at UPS. Interview with Jack Levis

Today we have a guest blog interview featuring Roberto V. Zicari, editor of ODBMS.ORG (www.odbms.org). ODBMS.ORG is designed to meet the fast-growing need for resources focusing on Big Data, Data Science, Analytical Data Platforms, Scalable Cloud platforms, NewSQL databases, NoSQL datastores, In-Memory Databases, and new approaches to concurrency control.  In this blog Roberto interviews Jack Levis,Senior Director, Industrial Engineering at UPS.  Below is their interview - Q1. Can you give us a background on UPS and some of the challenges that UPS faces? Jack Levis: The e-Commerce revolution brings with it some interesting challenges. First, from a cost-to-serve standpoint, residential deliveries are less dense in terms of distance between stops and pieces per stop. Second, residential customers want personalization in their delivery experience, which adds cost and other challenges. UPS has met these challenges by utilizing operations technology and advanced analytics. Q2. UPS won the 2016 Franz Edelman prize for its On Road Integrated Optimization and Navigation system (ORION). You lead the four-year long development of ORION. ORION completed deployment in 2016. How did you manage to reduce 100 million miles driven annually and save UPS $300 to $400 million each year? Jack Levis: UPS has a long history of innovation and constant improvement. The ORION story actually began in the late 1990s when UPS started building our Package Flow Technologies (PFT) data infrastructure. PFT created predictive models, a “virtual network”, and a suite of planning and execution tools. This was the foundation for ORION. PFT deployed in 2003 and reduced 85 million miles driven per year. ORION was built on this robust foundation. Using the discipline of operations research, ORION created a proprietary route optimization brain. Research into ORION began in 2003, and the first model was field tested in 2008 in Gettysburg, Pennsylvania. The result was that ORION could find ways to serve all customers in a route while at the same time reducing cost. It does so by systematically analyzing more than 200,000 different ways a route can be run and then presenting the optimal route to a driver. It does so in seconds. The ORION savings of 100 million miles and $300 million to $400 million annually is in addition to the savings from PFT.   Q3. What data infrastructure and data analytics tools did you use to implement ORION? Jack Levis: As mentioned above, ORION sits on top of our proprietary PFT technology. The analytics tools are also built in house by UPS’s operations research team. The marriage of operations research, IT and business processes is part of the ORION success story. Q4. What were the main challenges and pitfalls you encountered in the project? Jack Levis: The first challenge was to build the ORION optimization engine (brain) that could not only meet service while reducing cost but do so while thinking like a driver. This meant that ORION needed to balance consistency and optimality. It made no sense to throw things up in the air just to save a penny. To do so, UPS had to reevaluate business rules, methods, procedures, etc. In essence, UPS redesigned the delivery process. The second challenge was ensuring the data fed to ORION was “pristine”, and maps were a major challenge in this regard. Off-the-shelf maps were not accurate enough. UPS patented a process for utilizing our “big data” infrastructure to help make maps accurate enough for ORION. For instance, if a speed limit changes or a bridge is out, this edit must be made and updated information sent to ORION. From the time the map is edited, an optimized route can be in a driver’s hands in 30 seconds. The third and largest challenge was change management. By definition, optimization tools like ORION will require people to change behavior. UPS tested training procedures, new metrics, analysis tools, etc. to ensure the change would take place. Ultimately, the deployment team grew to 700 people. This team impacted tens of thousands of front-line personnel. The deployment team and the front line are the true heroes of the story. Q5. What are the three most important lessons learned during this project? Jack Levis: Never assume you know the answers. The first four years were spent truly understanding the delivery problem. There were many guidelines but few rules. ORION had to turn these guidelines into acceptable algorithms. The team did so by working with drivers and the front line until ORION started thinking like a driver. Data is always a bottleneck. Initially, the team thought maps that could be purchased would be accurate enough. When the optimizations gave bad answers, the team looked at the algorithm. As it turned out, the problem was the map data accuracy and not the algorithm. The algorithm could not be truly tested until the data inputs were “pristine.” Don’t forget deployment and change management. Do not think that “If you build it, they will come.” ORION required extensive change management and front-line support. It is important to have support from the top and show that the results are achievable. Without understanding the importance of change management, new programs run the risk of becoming a “flavor of the month.”   Q6. Can you recommend three best practices so that other projects can have a smoother path? Jack Levis: Focus on decisions. Put effort into areas where a better decision will make an impact. Focus on deployment and data from the beginning. The ORION deployment strategy is now the standard for all operations projects at UPS. Ensure the right data infrastructure is in place with proper data. Utilize appropriate associations and networking for help like the Institute of Operations Research and the Management Sciences (INFORM). Q7. What were the key elements that made this project a success? Jack Levis: Support from senior management to allow the team to continue the research even when failures occurred. Proving that benefits could be achieved. The teams ran 11 different tests in multiple operations to test things like benefit achievement, training, metrics, best practices, etc. No site could be deployed unless an entrance criteria was met. No site could say deployment was completed unless exit criteria was met. There was constant evaluation of metrics and issues. ORION was built inside a delivery process. Operations do not know they are using such advanced mathematics. They are just doing their job. Q8. In general, how do you evaluate if the insight you obtain from data analytics is “correct” or “good” or “relevant” to the problem domain? Jack Levis: The key is to start with decisions. See below (Q9).   Q9. What are the typical mistakes done when analyzing data for a large scale data project? How can they be avoided in practice? Jack Levis: We do NOT focus on technology. We focus on decisions. Big data is a how, not a what. We care less about Big Data than we care about big insight and big impact. By focusing on decision that need to be made, priorities become clearer. Ensuring decision-makers have the right information to make decisions and then measuring the impact of better decisions helps with the process. It helps to ensure the proper data is in place to make an impact. If an impact can be made from a simple tool, that is a good thing. Q10. What are the main barriers to applying machine learning at scale? Jack Levis: The largest barrier is not focusing on decisions. Q11. What is your next project? Jack Levis: UPS will build out ORION. ORION will begin making suggestions to drivers throughout the day. ORION will also provide navigation to drivers. We are also working on ORION making “dispatch” decisions. ORION will begin deciding which driver should serve customers. In essence, at some point it will automate the pickup/delivery process. Simultaneously, UPS will provide ORION-like functionality in other areas of the business. There will be a PFT/ORION for Transportation; city-to-city movements. There will be a PFT/ORION for inside the building operations; sorting, loading, moving of vehicles, etc. Qx Anything else you wish to add? Jack Levis: The advances mentioned above along with automated facilities will begin to automate and optimize the network. Today, ORION optimizes a single driver. Tomorrow, ORION will begin to optimize an entire delivery area. UPS has a bold vision to optimize an entire network from end to end.   Jack Levis, Senior Director, Industrial Engineering, UPS “Through the marriage of technology, information, and analytics UPS reduces cost and improves services. These advanced technologies streamline our business processes and ultimately benefit our customers.” Jack Levis, Senior Director of Industrial Engineering, drives the development of operational technology solutions. These solutions require advanced analytics to reengineer current processes to streamline the business and maximize productivity. Jack has been the business owner and process designer for UPS’s Package Flow Technology suite of systems, which includes its award-winning delivery optimization, ORION (On Road Integrated Optimization and Navigation). These tools have been a breakthrough for UPS, resulting in a reduction of 185 million miles driven each year. ORION has completed deployment and is providing significant operational benefits to UPS and its customers. UPS estimates that ORION is reducing costs by $300 million to $400 million per year. Jack earned his Bachelor of Arts degree in psychology, from California State University Northridge. He also holds a Master’s Certificate in Project Management from George Washington University. Jack is a fellow of the Institute for Operations Research and Management Sciences (INFORMS), receiving their prestigious Kimball Medal and the President’s Award. Jack holds advisory council positions for multiple universities and associations, including the U.S. Census Bureau Scientific Advisory Committee. The blog was originally published here: http://www.odbms.org/blog/2017/08/big-data-at-ups-interview-with-jack-levis/ UPS Resources: UPS Wins 2016 INFORMS Franz Edelman Award For Changing The Future Of Package Delivery https://pressroom.ups.com/pressroom/ContentDetailsViewer.page?ConceptType=PressReleases&id=1460463832713-874 UPS On-Road Integrated Optimization and Navigation (ORION) https://pressroom.ups.com/pressroom/media-kits/mediakits.page?id=1426416927295-300&ConceptType=MediaKits ORION Backgrounder https://pressroom.ups.com/pressroom/ContentDetailsViewer.page?ConceptType=FactSheets&id=1426321616277-282 UPS ORION: The Driver Helper (Infographic) https://pressroom.ups.com/mobile0c9a66/assets/pdf/pressroom/infographic/UPS_ORION_Infographic_v6.pdf Oracle Resources: Oracle Big Data Cloud Service Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database 12c Release 2 for Data Warehousing and Big Data Whitepaper Oracle Analytics Cloud Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Today we have a guest blog interview featuring Roberto V. Zicari, editor of ODBMS.ORG (www.odbms.org).ODBMS.ORG is designed to meet the fast-growing need for resources focusing on Big Data, Data...

Big Data

The Rise of the Renaissance Database Administrator

Today, I wanted to share, via our blog, a portion of our new whitepaper entitled "The Rise of the Renaissance Database Administrator: Cloud Opens Up New Career Vistas".  For the complete whitepaper please download the asset in the resource section at the end of the blog.     Introduction What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a search for leadership, and senior executives are only too aware that they alone do not have the skills and know-how to make it happen. Database administrators are in the right place, at the right time, for this emerging opportunity. This is the time for DBAs to step forward, take a leadership role, and move the enterprise to take action. Who else can we look to as stewards of customer information, transaction data and intellectual property? DBAs have the knowledge and education to secure sensitive data on behalf of organizations and citizens of the known universe. Now is the time for DBAs to be proactive and lead their companies to successfully move into the digital realm.   The U.S. Bureau of Labor Statistics predicts that demand for DBAs as an occupation will keep rising, with 11% more jobs available within the next seven years – faster than most occupational categories   Cloud as Digital Growth Catalyst Cloud computing is the gateway to the digital economy, and the growth of cloud is also boosting the profiles of DBAs in a dramatic fashion, creating increased demand as well as elevating the nature of their jobs. The U.S. Bureau of Labor Statistics predicts that demand for DBAs as an occupation will keep rising, with 11% more jobs available within the next seven years – faster than most occupational categories. Within the tech and cloud sector, DBA growth is even more pronounced – expanding at a rate of 26% within this same time period. As BLS describes in its most recent career outlook analysis: “Growth in this occupation will be driven by the increased data needs of companies in all sectors of the economy. Database administrators will be needed to organize and present data in a way that makes it easy for analysts and other stakeholders to understand.” BLS also cites “the increasing popularity of Database as a Service, which allows database administration to be done by a third party over the Internet, could increase the employment of DBAs at cloud computing firms in the data processing, hosting, and related services industry. The increasing adoption of cloud services by small and medium-sized businesses that do not have their own dedicated information technology (IT) departments could increase the employment of DBAs in establishments in this industry.” A look at the nature of cloud traffic – and the increasing importance of data in the cloud – were revealed in the latest data center traffic estimates from Cisco. The latest report estimates, for example, that 3.9 zettabytes of cloud traffic moved through the world’s data centers in the year 2015. By the year 2020, this traffic is projected to also quadruple, to more than 14 zettabytes. More than 20% of this traffic is and will continue to be data analytics and Internet of Things workloads. Clouds and DBA Tasks For years, the roles and responsibilities of DBAs were well defined and contained within the confines of the data center or IT department. DBAs were the ultimate caretakers for their corporate databases, making sure everything was running smoothly, managing the loading and extraction of data, setting access rights and data security, and ensuring that everything was backed up.   As cloud computing is accelerating the growth of data and the ability to move organizations into the digital race, it is also shifting DBAs’ roles and responsibilities. Cloud services – both from databases connected to the cloud, as well as databases run within clouds -- make the role of DBA more important than ever. Cloud services may help automate the management, installation, troubleshooting, performance, patching, backing up and security of data, but DBAs are needed to ensure that data environments continue to run efficiently and line up with business requirements. A survey of members of the Independent Oracle Users Group, conducted by Unisphere research, a division of Information Today, documents the relentless growth of data – as well as its increasing importance to the business – demonstrates the increasing value of DBAs as they engage new avenues of the business. A majority, 62%, report their company’s data volume has grown more than 10% annually, and 74% state their companies’ requirements for secure, well-governed data environments that meet compliance mandates is growing as well. Many organizations are turning to data to help make better business decisions, engage with customers, and increase speed to market.   Seventy-three percent of managers and professionals expect to be using DBaaS within their enterprises by that time, versus 27% at the present time.   Cloud frees up valuable DBA time and resources to provide this value to the business. Cloud-born services can help DBAs in a number of ways, handling much of the lower-level or infrastructure maintenance concerns, including the provisioning of disk space, increasing high availability, providing failover, integrating data, and enhancing security. An additional IOUG-Unisphere survey finds growing interest in Database as a Service (DBaaS) as a viable approach to serving enterprises’ needs for greater agility and faster time to market with cloud computing. DBaaS is taking off, with adoption expected to triple between 2016 and 2018. There will be a significant amount of enterprise data shifting to the cloud over that same time period as well, as enterprises rethink data management in the cloud. Seventy-three percent of managers and professionals expect to be using DBaaS within their enterprises by that time, versus 27% at the present time. Enter the ‘Renaissance DBA Historically, DBAs have focused on maintenance tasks within their enterprises. The typical duties of a DBA have typically included the following types of tasks: · Performing backup and recovery duties · Monitoring database server health · Ensuring disaster recovery and high availability · Database performance tuning · Establishing standards and schedules for database backups · Working with developers and designers and assisting them in their tasks · Establishing and enforcing standards in the database design and use · Overseeing the transfer, replication, and loading of data · Scheduling events or jobs · Ensuring database accessibility to authorized users · Changing database parameters and setup to ensure optimal database performance · Manage space allocated for the database · Assure compliance For the time being, as their organizations shift to cloud, DBAs may still oversee many of these essential tasks, depending on the degree of automation achieved within their organizations. For on-premises systems, such as an ERP application, the DBA has usually had to get involved with all the nuts and bolts of implementing and maintaining the system, from vetting data sources to ensuring integrity. In cloud-based environments, much of the lower-level task work is conducted by the cloud service provider. The cloud provider likely has already set up the database, installed the application, created the tables, and will provide the upgrades. The DBA only has to focus on what’s happening on the business end of the engagement – customizing endpoints and output, usually using the provider’s tools.   At the same time, DBAs are answering to a new calling, serving a much greater role within the business. Thanks to cloud, many lower-level maintenance tasks will either be diminished or go away. Low-level tasks will be done at the click of the button, offered through cloud providers. At the same time, DBAs are assuming greater roles as analysts or consultants to their businesses – providing both strategic and operational guidance to help transform their organizations into consumers of intelligent insights coming from their data resources. This emerging “Renaissance DBA” is part technologist who understands the workings of databases, and part trusted advisor who helps business leaders leverage data insights to move their organizations forward. For the conclusion of the article, and to find out key roles of the “Renaissance DBA”, please download the complete whitepaper in the resource tab below.   About Oracle Cloud Oracle Cloud is the industry’s broadest and most integrated public cloud. It offers best-in-class services across software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS), and even lets you put Oracle Cloud in your own data center. Oracle Cloud helps organizations drive innovation and business transformation by increasing business agility, lowering costs, and reducing IT complexity. Sign up for a free trial at cloud.oracle.com/tryit To learn more about how Oracle Cloud Platform can help your organization easily migrate applications to the cloud, visit oracle.com/paas.  Also, please find the complete whitepaper below in the resource section. Training for Database Administrators is available at Oracle University . Resources: The Rise of the Renaissance Database Administrator Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database 12c Release 2 for Data Warehousing and Big Data Whitepaper Oracle Analytics Cloud Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today, I wanted to share, via our blog, a portion of our new whitepaper entitled "The Rise of the Renaissance Database Administrator: Cloud Opens Up New Career Vistas".  For the complete whitepaper...

Customer Stories

Oracle Cloud Platform allows Asahi Refining to focus on their Core Competencies

Today we have a guest blog from John Klinke,Senior Principal Product Manager for Oracle Middleware. Asahi Refining is a leading provider of precious metal assaying, refining, and bullion products. They recently decided to reduce IT costs by moving away from the heavy lifting of managing and maintaining their on-premises IT infrastructure in order to focus more on their core competencies of refining gold and silver. By choosing Oracle Cloud Platform, they have been able to easily migrate their Java application to the cloud and automate the management, patching and maintenance of their application by running it on Oracle Database Cloud Service and Oracle Java Cloud Service. Watch this video to hear more about the benefits Asahi Refining saw in moving to the Oracle Cloud Platform.   To learn more about how Oracle Cloud Platform can help your organization easily migrate applications to the cloud, visit oracle.com/paas.   Resources: Oracle Versus Commodity Cloud Vendors Solution Brief Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have a guest blog from John Klinke,Senior Principal Product Manager for Oracle Middleware. Asahi Refining is a leading provider of precious metal assaying, refining, and bullion products....

Database

Three Ways To Energize Your DBA Career In The Cloud

Today we have a guest blog from Jeff Erickson, Director of Content Strategy at Oracle. It’s no secret that data is the new black gold—a source of wealth creation on par with financial capital, say some. So it’s a little ironic that a group of people who understand better than anyone how to manage data are feeling increasingly left out of the party. Database Administrators, or DBAs, are the experts responsible for the performance and security of a growing list of database types, from relational to in-memory to NoSQL. These databases provide the cornerstone technology of digital business activities like ecommerce, mobile computing, and social media, and are integral to trends like big data, artificial intelligence, and Internet of Things (IoT). But here’s the rub for DBAs: Cloud vendors now offer fully managed database services that take over a lot of the daily tasks of a company’s in-house DBAs. And, due to automation and economies of scale, those service providers can often do it faster and more cheaply. So where does that leave DBAs? “In a very good position,” says Penny Avril, vice president of database product management at Oracle. “Data has enormous value and the importance of the DBA isn’t going away. But their role is changing.”  A lot of the mundane tasks of a DBA are going away, “including a lot of the tasks where DBAs would be on call 24/7,” Avril says. Such tasks might include applying software updates or backing up data, which are automated with a database cloud service. Meanwhile, the parts of the job that are more interesting and more visible to a line of business leader, such as data modeling and data security, will only grow, she says. Here, according to Avril and several other experienced DBAs, are three ways to energize a DBA career in the age of the cloud: 1. Deliver the Right Data to Drive a Business Strategy “There is a whole lot more data coming online from social and data sharing services—and IoT,” says Avril. “So the role of making data available to their business users just radically increases.” This is a natural fit for the DBA, she says, because they know how data moves. For example, a company might want to analyze data from multiple sources, requiring a DBA who understands the data formats and can bring them together. A DBA can deliver even more value by working to understand the company’s business model and advising on what data is most valuable to the business. This shift doesn’t require getting a PhD in statistics. “DBAs may not become data scientists,” notes Avril. “But they can make the data scientist role a lot more valuable by getting the data to them quicker and more efficiently and by providing an understanding of different data sources.” David Start, who heads the Independent Oracle User Group (IOUG), agrees. “There’s a lot more [that] DBAs need to know” besides how to manage a database, he says. “It’s solutions. It’s architectures. It’s critical thinking. It’s communication skills and problem-solving.” His user group members are, he says, determined to help each other meet these challenges. “You can’t just be the Oracle DBA with your hands on the keyboard anymore, you have to look up and understand how business leaders want to use the data.” A good way to start, says Oracle’s Avril, is for DBAs to speak to business analysts from the various lines of business to understand what they hope to gain from new data sources and from the agility that the cloud provides. The other challenge that doesn’t go away, says Avril, is information security, even though the cloud makes that less of a hands-on task as well.  “Someone has to worry about data security as the business expands access into all these forms and sources of data,” she says. The cloud vendor will encrypt it, but doesn’t know what it is or means—nor does it want to. “Someone on the customer side needs to understand and classify the data and understand the privilege model they have for who can access the data.”   2. Master the Tactical Side of Cloud Migration Organizations will take a long time transitioning from today’s world of on-premises databases to a future of fully managed cloud databases. When the IT team moves an Oracle Database to cloud infrastructures such as Amazon Web Services or Oracle Bare Metal infrastructure, “their databases will still be primarily managed by their own DBAs,” Avril says. “Over time, however, as companies use more cloud-based applications, the database they use will be fully managed by the cloud vendor.” During this transition, says longtime DBA Robert Dawson of Oracle implementation partner Meta7, there are a lot of tactical needs that DBAs can help meet. “When a company is working with on-premises and cloud technology, someone needs to understand the cloud environment,” he says, “but also things like networking, VPN access, security, basic tenets of infrastructure, and database as well.” Avril’s advice is to help your company understand which applications should be moved to the cloud immediately and which should wait. “Know the mechanics of how to move applications and data to the cloud and take advantage of free cloud trials to learn how to integrate cloud services with your on-premises data sources.”   3. Grow into New Roles Change is nothing new to the DBA role. “We’ve seen this before in earlier versions of the database when Oracle introduced automation to a whole bunch of DBA tasks—automated storage management, automatic workload repository, and several others,” says Avril. “DBAs initially thought, ‘What am I supposed to do? Will I lose my job?’” But over time DBAs learned to rely on the automation and shifted their time to more high-value work. Not that the transition is always easy, says Dawson. “There’s a level of frustration because DBAs are used to being responsible for the most complex stuff, such as installing Oracle Exadata, installing Oracle RAC, or doing version upgrades,” he says. “Now they need to go back and grow their skills in new ways.” But as Dawson has seen in his own company, the opportunities are boundless if you’re willing to learn new skills. “You can explore open source tools like Docker or Ansible, and learn to use REST services,” he says. “Now you’re growing again. You might have been doing the same thing for the last 10 years, and now you’re opening up the O’Reilly book and reading about infrastructure as code and automation in cloud environments. That’s empowering. That’s career growth for DBAs.” IOUG’s Start agrees that the cloud will be good for DBAs: “It’s the best thing that’s ever happened because it’s shaking up people. It’s a faster pace. It gets people on their toes. It gets the data moving through the business.” For more information, visit www.cloud.oracle.com or sign up for a free trial at cloud.oracle.com/en_US/tryit.   Interested in some hands-on cloud experience? Oracle Code events are one-day, developer-focused events with practical labs and sessions.   Resources: Oracle Versus Commodity Cloud Vendors Solution Brief Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Today we have a guest blog from Jeff Erickson, Director of Content Strategy at Oracle. It’s no secret that data is the new black gold—a source of wealth creation on par with financial capital, say...

Big Data

Kscope 2017: Oracle Sessions

ODTUG Kscope17 is the premier Oracle Developer Conference that attracts Oracle experts from all over the world.  Below you will find the registration page as well as all the Oracle Sessions.  Be sure to also check out our partner and Oracle ACE Directors' presentations. Kscope 2017 Conference Home Page Oracle Sessions Sunday June 25- APEX Sessions -  Grand Oaks E/F/G Rooms 8:30 AM - 9:30 AM APEX 5.1 Advanced Universal Theme Shakeeb Rahman, Oracle Corporation   9:30 AM - 10:30 AM  - Grand Oaks E/F/G Rooms APEX 5.1 Advanced Charts Marc Sewtz, Oracle Corporation   11:00 AM - 12:00 PM - Grand Oaks E/F/G Rooms APEX 5.1 Advanced Interactive Grid John Snyders, Oracle Corporatio   1:00 PM - 2:00 PM - Grand Oaks E/F/G Rooms APEX 5.1 Other Advanced New Features Partick Wolf, Oracle Corporation   2:00 PM - 3:00 PM - Grand Oaks E/F/G Rooms Advances with Packaged Apps Marc Sewtz, Oracle Corporation   3:15 PM-4:15 - Grand Oaks E/F/G Rooms Update from Development Joel Kallman, Oracle Corporation   Sunday JUNE 25 -  Business Intelligence Sessions Cibolo Canyon 2/3/4 and Freesia 8:40 AM - 10:00 AM Oracle Analytics Keynote and Product Strategy Gabby Rubin, Oracle Corporation   10:00 AM - 10:30 AM Cibolo Canyon 2/3/4 and Freesia What is New in Oracle BI Extended Universe (OBIEU)? Alan Lee, Oracle Corporation   11:20 AM - 12:00 PM - Cibolo Canyon 2/3/4 and Freesia OAC Samples and Platform Capabilities for Application Developers Phillippe Lions, Oracle Corporation   1:10 PM - 1:30 PM  - Cibolo Canyon 2/3/4 and Freesia Review of Oracle Data Lake Patterns (Cloud and On-Premises) Jean-Pierre Dijcks, Oracle Corporation   1:30 PM - 2:15 PM - Cibolo Canyon 2/3/4 and Freesia Deep Dive Into Big Data Cloud Service and Embedded Components Jean-Pierre Dijcks, Oracle Corporation   2:15 PM - 2:45 PM - Cibolo Canyon 2/3/4 and Freesia Special Update on Data Warehousing in the Cloud Yasin Baskan, Oracle Corporation   3:00 PM - 3:45 PM - Cibolo Canyon 2/3/4 and Freesia Introducing Oracle Data Integration Platform Denis Gray, Oracle Corporation   3:45 PM - 4:10 PM - Cibolo Canyon 2/3/4 and Freesia Hub and Spoke is Dead! Lambda/Kappa Data Integration Patterns Denis Gray, Oracle Corporation   4:10 PM - 4:30 PM - Cibolo Canyon 2/3/4 and Freesia Demo of Oracle Data Integration Platform Cloud Denis Gray, Oracle Corporation   1:00 PM - 1:30 PM - Cibolo Canyon 2/3/4 and Freesia The Essbase Session Gabby Rubin, Oracle Corporation   1:30 PM - 2:15 PM - Cibolo Canyon 2/3/4 and Freesia The Next Next-Gen of Mobile Analysis Jacques Vigeant, Oracle Corporation   2:15 PM - 2:45 PM - Cibolo Canyon 2/3/4 and Freesia The Analytics Wipe Out Matt Milella and Jacques Vigeant, Oracle Corporation   3:15 PM - 4:35 PM - Cibolo Canyon 2/3/4 and Freesia Data Visualization Workshop Philippe Lions, Oracle Corporation   Sunday JUNE 25 - Database Sessions  - Cibolo Canyon Cibolo Canyon 8/9/10 8:30 AM - 10:30 AM - Session 1 Ten Rules for Doing a Pl/SQL Performance Experiment Bryn Llewellyn, Oracle Corporation Why Test Cases Matter Chris Saxon, Oracle Corporation Lifecycle Management and Continuous Integration for Database Code Shay Shmeltzer, Oracle Corporation   11:00 AM - 12:00 PM - Session 2 -  Cibolo Canyon Cibolo Canyon 8/9/10 100 SQL Developer Tricks in 20 Minutes Jeff Smith, Oracle Corporation Leveraging Hyperlinks in REST APIs Colm Divilly, Oracle Corporation Oracle Optimizer Isn’t Black Magic Maria Colgan, Oracle Corporation   1:00 PM - 2:45 PM - Session 3 - - Cibolo Canyon Cibolo Canyon 8/9/10 ORDS REST Development Flexibility Jeff Smith, Oracle Corporation SQL Magic: The Cups and Balls Trick Chris Saxon, Oracle Corporation How to Protect the Crown Jewels Maria Colgan, Oracle Corporation Welding Together REST APIs Colm Divilly, Oracle Corporation Building Your Own Oracle Developer Day VM Barry McGillin, Oracle Corporation   Session 4: 3:15 PM - 5:00 PM - - Cibolo Canyon Cibolo Canyon 8/9/10 The "Hot Patching" Myth—Or Why You Have No Choice but to Use EBR for Zero-Downtime Patching Bryn Llewellyn, Oracle Corporation Hacking into Oracle Database Chris Saxon, Oracle Corporation New Open Source Projects from Database Tools Barry McGillin, Oracle Corporation 30 Minute Q&A Panel Moderated by Helen Sanders. Monday JUNE 26- EPM/BI - - Cibolo Canyon Cibolo Canyon 8/9/10 10:30-11:30 – Grand Oaks H Oracle Internet of Things Cloud Service: Making Sense of Fast Data Sujay Sarkhel Oracle Corporation   10:30-11:30 – Magnolia Architecture Live: Designing an Analytics Platform for the Big Data Era Jean-Pierre Dijcks Oracle Corporation   2:00-3PM- Grand Oaks I What's New and Coming in Planning Prasad Kulkarni Oracle Corporation   3:15-4:15 - CIBOLO CANYON 8/9/10 Build Once, Run Anywhere with Oracle Analytics Cloud Alan Lee Oracle Corporation   3:15-4:15 - PEONY The Future of On-Prem EPM Matt Bradle Oracle Corporation     Monday, June 26 - Database 10:30-11:30 – Larkspur Migrating Oracle Forms to the Cloud using Application Express David Peake Oracle Corporation   10:30-11:30 – Verbena Developing JavaScript Applications: The Oracle Offering Shay Shmeltzer Oracle Corporation   11:45-12:45 - BLUEBONNET/DOGWOOD Deploying REST Services at Scale Colm Divilly Oracle Corporation   TUESDAY, JUNE 27– EPM/BI   8:30-9:30 - CIBOLO CANYON 8/9/10 A Story About Data: Anything, Everywhere with Everyone Matt Milella Oracle Corporation   11:15-12:15 - CIBOLO CANYON 8/9/10 What's Cooking with Oracle Smart View for Office? Al Marciante Oracle Corporation   11:15-12:15 – Grand Oaks H Essbase Cloud Service: Architectural Evolution Kumar Ramaiyer Oracle Corporation 3:30-4:30 - CIBOLO CANYON 8/9/10 Oracle Analytics Cloud - A Comprehensive Overview Alan Lee Oracle Corporation   3:30-4:30 – Grand Oaks I What’s New, What’s Next: Oracle Planning and Budgeting Cloud Service Shankar Viswanathan Oracle Corporatio   4:45-5:45 – Grand Oaks I Oracle Analytics Cloud - Essbase New Capabilities Kumar Ramaiyer Oracle Corporation   TUESDAY, JUNE 27– Database 8:30-9:30 Begonia The Future of Database Maria Colgan Oracle Corporation   11:15-12:15 - Larkspur Low Code Challenge: Build a Real-World Application in 60 Minutes David Peake Oracle Corporation   2:00-3:00 - Verbena Understanding SQL Trace, TKPROF, and Execution Plan for Beginners Carlos Sierra Oracle Corporation   3:30-4:30- Verbena SQLcl & SQL Developer Tips & Tricks Jeff Smith Oracle Corporation WEDNESDAY, JUNE 28–EPM/BI 8:30-9:30 – Grand Oaks A/B Configuring EPBCS for Operational Planning Requirements Manish Daga Oracle Corporatio   9:45-10:45 - CIBOLO CANYON 8/9/10 Oracle Analytics Mobile - Disrupt the Enterprise (In a Good Way) Jacques Vigeant Oracle Corporatio   9:45-10:45 – Grand Oaks I World-Class Marketing Planning with Oracle Cloud Marc Seewald Oracle Corporatio   9:45-10:45 – Magnolia Integrating Raspberry Pi Sensors with Data Visualization Justin Baker Oracle Corporation   9:45-10:45 – Peony Current Trends and Best Practices for Improving User Adoption and Productivity for EPM and BI D.J. Hoelscher Oracle Corporation   11:15-12:15 – Grand Oaks I EPBCS Workforce and Strategic Workforce Planning In Action Mark Rinaldi Oracle Corporatio   1:45-2:45 - CIBOLO CANYON 2/3/4 On-Prem to EPM Cloud (Hybrid) and Cloud-Only- Based Integration Solutions Michael Casey Oracle Corporatio   3:00-4:00 - CIBOLO CANYON 8/9/10 Your Data Speaks with Enterprise Performance Reporting Cloud Al Marciante Oracle Corporation   3:00-4:00 - Magnolia Analytic Views: A New Type of Database View for BI and Data Warehousing William Endress Oracle Corporation   WEDNESDAY, JUNE 28–Database 8:30-9:30 – Verbena SQL Magic! Chris Saxon Oracle Corporatio   11:15-12:15 – Verbena SQL Developer: Three Features You're Not Using But Should Be Jeff Smith Oracle Corporation   3:00-4:00 – Bluebonnet SQL Tuning 101 Carlos Sierra Oracle Corporation   4:15-5:15 – AZALEA REST Enabling the Oracle Database Colm Divilly Oracle Corporation   4:15-5:15 – Larkspur APEX 5.2 Preliminary Features Marc Sewtz Oracle Corporation   THURSDAY DEEP-DIVE SESSIONS   9:00 - 11:00 AM   DATABASE Grand Oaks E/F A Real-World Comparison of the NoPlsql and Thick Database Paradigms Bryn Llewellyn, Oracle Corporation, and Toon Koppelaars, Oracle Corporation For more information on Oracle Data Management Cloud Services visit www.cloud.oracle.com or sign up for a free trial at cloud.oracle.com/en_US/tryit. Resources: Oracle Developer Home Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

ODTUG Kscope17 is the premier Oracle Developer Conference that attracts Oracle experts from all over the world.  Below you will find the registration page as well as all the Oracle Sessions.  Be sure...

Big Data

ODTUG Kscope17 is the premier Oracle Developer Conference that attracts Oracle experts from all over the world.

No other conference in the Oracle world features this kind of development-specific training and content, including lessons learned by other companies facing similar challenges and hundreds of opportunities to learn money-saving techniques.  In addition, it's a great forum to meet key Oracle partners and Oracle ACE Directors. ODTUG Kscope17 offers a multitude of benefits for attendees. Among the highlights are: • 300+ technical sessions • Four days of hands-on training – no additional charge • All-day symposiums – no additional charge • Lunch-and-learn sessions with Oracle experts • Plenty of time to meet and talk with the experts and other participants Kscope 2017 Conference Home Page If you can't make it to ODTUG Kscope17, you can still participate from home. Check out the list of sessions we're bringing you live from San Antonio, Texas! Using R for Data Profiling - Michelle Kolbe, Red Pill Analytics  When: Monday, June 26, 2017 - Session 3 Time: 2:00 - 3:00 PM CDT Topic: BI and Reporting Post your questions on the Livestream and the presenter will try to answer them during the Q&A. LIVESTREAM LINK Alexa! How Do You Work with Oracle REST Data Services? - Jonathan Dixon, JMJ Cloud When: Tuesday, June 27, 2017 - Session 7 Time: 11:15 AM - 12:15 PM CDT Topic: Database Post your questions on the Livestream and the presenter will try to answer them during the Q&A. LIVESTREAM LINK Advanced Calculation Techniques: Going Beyond the Calc Dim - George Cooper, Gap When: Wednesday, June 28, 2017 - Session 12 Time: 9:45 - 10:45 AM CDT Topic: Essbase, Subtopic: Essbase Calculation Post your questions on the Livestream and the presenter will try to answer them during the Q&A. LIVESTREAM LINK #LetsWreckThisTogether APEX Talks - Thursday Deep Dive When: Thursday, June 29, 2017 Time: 9:00 - 11:00 AM CDT Topic: APEX Post your questions on the Livestream and the presenter will try to answer them during the Q&A. LIVESTREAM LINK   For more information on Oracle Data Management Cloud Services visit www.cloud.oracle.com or sign up for a free trial at cloud.oracle.com/en_US/tryit. Resources: Oracle Developer Home Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

No other conference in the Oracle world features this kind of development-specific training and content, including lessons learned by other companies facing similar challenges and hundreds of...

Big Data

Getting Clear About Clouds: How to Find the Best Approach for Your Enterprise

Today we have a guest blog from our peers on the Oracle Cloud Machine team.  Today Maywun Wong Director, Product Marketing, discusses the value of Oracle Exadata Cloud Machine and the use cases behind this solution.  Most business and IT executives understand the extent to which cloud computing is transforming business and disrupting IT organizations. These services and solutions—including Software-as-a-Service (SaaS), Infrastructure-as-a-Service (IaaS), and Platform-as-a-Service (PaaS)—are ushering in new cost efficiencies, productivity gains, and innovation.  However, sorting through the options and choosing the right approach can be daunting. Historically, business and IT decision-makers have had three choices when adopting cloud technologies: private clouds, public clouds, and hybrid clouds. Each approach delivers different features, capabilities, challenges, and benefits. How do you choose the best cloud configuration for your organization? How do you ensure that you are minimizing costs, maximizing gains, and retaining the flexibility and agility required for digital business? With the right strategic framework, it's possible to transform the cloud from a tactical benefit into a strategic asset. Let's take a look at the three traditional types of clouds: Public clouds. This approach relies on publicly available infrastructure and services to deliver computing capacity, applications, and/or services. It can be less costly than private clouds, it's relatively fast to deploy and easy use, and it's highly flexible. The potential downside, however, is that it's operated by a third party, it's a shared resource, and outages and downtime can occur. For organizations whose demands fluctuate and may need to scale up or down quickly, public cloud is a versatile, cost-effective way to reap the benefits of the cloud. Oracle's public cloud solution is Oracle Cloud, offering a high level of scalability, flexibility, and dependability. Learn more about Oracle Cloud. Private clouds. This approach uses a proprietary IT architecture to deliver infrastructure, applications, and/or services. A private cloud is developed specifically for a single organization and, consequently, offers a high degree of control and reliability. It's also more readily customizable. However, it does require a higher CapEx investment than other cloud options, as well as greater IT expertise. For organizations operating in regulated industries and subject to data sovereignty laws, private clouds offer the control needed to meet compliance demands. Private clouds also facilitate strict data access controls. Oracle provides a number of solutions for organizations looking to deploy a private cloud: Oracle Private Cloud Appliance, Oracle Exadata, Oracle Exalogic, Oracle Supercluster. Hybrid clouds. This environment relies on a mix of public and private cloud infrastructures, applications, and/or services. By combining elements of both types of clouds, an organization can balance cost and data sovereignty concerns with greater flexibility and scalability. For example, businesses may choose a hybrid cloud model to keep critical or data-sensitive applications or functions behind their firewall, but take advantage of the ease and flexibility of the public cloud for less critical functions such as test/dev.   A New Model Emerges: Oracle Cloud at Customer Oracle has introduced Cloud at Customer. Built on the public Oracle Cloud but located at the customer’s data center, it is managed by Oracle. Cloud at Customer breaks down the traditional barriers to public cloud adoption by combining the best of both worlds: a highly flexible public Oracle Cloud and the privacy of the data center. Oracle Cloud at the Customer includes Oracle Cloud Machine and Exadata Cloud Machines, and offers several important advantages: A lower overall cost point with a high level of flexibility. This makes it ideal for delivering cloud-native solutions that require an on-premises framework. A user experience consistent with Oracle Cloud, with low latency The ability to address data sovereignty and governance concerns The same cloud software stack across the public Oracle Cloud and the on-premises Cloud at Customer elements—such as Oracle Cloud Machine and Exadata Cloud Machine—to simplify workload portability An OpEx approach, which lets your organization buy only the resources it needs and establish a highly predictable OpEx budget. Equipment is owned and operated by Oracle. Maintenance of data behind the firewall. As a result, your IT department can integrate the cloud technology with your company's network security. An architecture that is especially suited to server-side Java users requiring high performance and scalability Cloud at Customer delivers the highest level of performance and most available infrastructure for running an Oracle database, including high performance middleware and native InfiniBand connectivity. Organizations can tap the latest innovations and take advantage of the rapid development the cloud makes possible.   Net Gains Private, public, and hybrid clouds all remain viable options, and all play a role in the modern enterprise. However, organizations that require a public cloud infrastructure should consider their choices carefully. Oracle Cloud at the Customer builds a foundation for a more agile and flexible IT and business framework. It's an environment that supports everything from agile initiatives and DevOps to real-time analytics and advanced features for mobile apps—all of which helps ensure that your organization is on the leading edge of innovation and disruption. Resources: Cloud Operations for Oracle Cloud Machine Whitepaper Oracle Versus Commodity Cloud Vendors Solution Brief Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have a guest blog from our peers on the Oracle Cloud Machine team.  Today Maywun Wong Director, Product Marketing, discusses the value of Oracle Exadata Cloud Machine and the use cases...

Want More from Cloud? New Exadata Subscription-Based On-Premise Services

Today we have a guest blog from our peers on the Oracle Cloud Machine team.  Today Anne Plese Director, Product Marketing, Cloud Infrastructure Database Solutions discusses the value of Oracle Exadata Cloud Machine and the use cases behind this solution.  Cloud-integrated engineered systems for Oracle Databases address many of the key concerns that inhibit enterprises from making a swifter transition away from legacy on-premises infrastructures.  It’s fair to say that the vast majority of companies are well aware of the benefits provided by cloud-hosted applications. But for businesses that have real or perceived concerns about implementing cloud-hosted solutions for their more complex database, analytics, or OLTP needs, many of the benefits this technology provides are just out of reach. Cloud Concerns The primary worries about the public cloud include data residency, security, and vendor lock-in. For private cloud implementations, lock-in is the biggest concern, followed by a lack of appropriate skills, and then security. Data security does appear to be the primary inhibitor, however. According to a Cloud Industry Forum report, privacy and security worries remain as big a barrier to adoption as they were five years ago. In this video, for example, Juan Loaiza, SVP Oracle, reviewed the most common objections companies communicate to us, including: Regulatory or corporate policies that require data to be local to the company or territory Limited resources or IT skills needed to manage database infrastructure Lack of proximity to public cloud data centers, or latency issues that compel many organizations to demand the performance of a LAN infrastructure Legacy database and infrastructure complexity Risk associated with data security and worry about the cost and quality of services cloud providers offer The Confident Transition Oracle appreciates the lingering concerns that some companies have about hosting mission-critical business processes in the cloud. That’s why we have more choices of database infrastructure services to help companies transition to the cloud at their own pace.  Central to that is the Oracle Exadata Cloud Machine. This fully-integrated engineered system is delivered to your data center to address latency and data sovereignty requirements—with all of the benefits of a modern cloud service.  Here’s how it works: The services are physically delivered from inside your firewall, next to systems and data where compliance and operation policies have already been defined. Oracle conforms to regulatory, privacy, and legal frameworks, and meters only the services you consume. A Good Fit if You are New to Exadata Exadata Cloud Machine is identical to Oracle’s public cloud service in that it is managed by Oracle Cloud Experts for you.   It’s cloud-based service that is still under your control, but all of the resource-consuming activities associated with managing infrastructure components—servers, storage, storage software, networking, and firmware—are supported by the Oracle Cloud Operation.  Similar to our Exadata Cloud Services public cloud offering, companies avoid the costs of hiring, training, and retaining staff with specialized skills.  Exadata Cloud Machine enables easy migration of existing databases across the LAN and simplifies database backup to existing data center infrastructure. Plus, it provides maximum-availability architectural configuration with built-in best practices.  For companies that want more from the cloud, the Exadata Cloud Machine is a proven path away from cumbersome and costly traditional on-premises infrastructures.   Learn more about how our engineered systems can address any concerns you have with migrating to the cloud.   Resources: Cloud Operations for Oracle Cloud Machine Whitepaper Oracle Versus Commodity Cloud Vendors Solution Brief Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have a guest blog from our peers on the Oracle Cloud Machine team.  Today Anne Plese Director, Product Marketing, Cloud Infrastructure Database Solutions discusses the value of Oracle Exadata...

Database

Development that's fast, simple, and powerful!

       Cloud based application development is growing at an incredible pace due to the rise of tethered database cloud services, coupled with modern, intuitive, and powerful development tools. In years past, developers were plagued by some concrete challenges - Cumbersome user interface and user experience Lack of scalability Lack of performance from un-optimized databases New frameworks and platforms Security Application development is inherently difficult, as the developer must deliver a final product that achieves its desired goal, but also must possess creative elements that are pleasing, brand-building and technically modern.  With developers in mind, Oracle offers Application Express, a solution that has more than ten years of real-world usage and community activity.  Oracle APEX enables you to design, develop and deploy beautiful, responsive, database-driven applications using only your web browser.        So what is Application Express?  Oracle Application Express is the native low code framework of the Oracle Database.  Using Application Express, you can easily create modern, responsive, scalable web applications with minimal effort.  With no additional coding, Web apps created with APEX look great on the desktop, tablet or smartphone.  Application Express is a supported feature of the Oracle Database and is included, at no additional cost, with every Oracle Database, both on-premises and in the cloud.  There are no additional licensing costs based on the number of developers, applications or end-users.  Application Express is also included with every Oracle Database Cloud Service, from the low-priced Oracle Database Exadata Express Cloud Service all the way up to the Oracle Database Exadata Cloud Service.  With Application Express, you can focus on the problem at hand. Much of the development process is managed for you: security, authentication, database interactions, input validation, session state management and many other dependencies work out of the box.  All the tools you need are available in a single, extensible platform, which runs as a part of the Oracle Database.         Oracle APEX offers customers many valuable features and benefits, as a result many APEX users share common use cases.  The primary use case stems from customers looking to quickly develop new web-based applications for departmental (Line-of-Business) use.  Second, are customers looking to extend their enterprise application solutions, and the third use case is focused on customers looking to modernize their legacy applications.  Check out Joel Kallman’s blog as he talks about the power of APEX for low code development and it’s benefit in effortless design and automation. If you are already savvy to APEX, then see Joel’s blog  for the latest features and enhancements for Oracle APEX 5.1.1.        With Oracle Cloud, you have the power of choice through a wide variety of programming languages, database and compute types, containers, IDE’s and powerful development tools. You can get instant access to a fully configured Oracle Database. Also, since Oracle provides the same user experience and leveraged skill-sets across on-premises or cloud deployments, customers also benefit from the flexibility of deployment choice.With Oracle Cloud, you have the broadest choice of tools and languages to quickly code and build your apps. You can find extensive content about Application Express from the APEX Learn More site.  Wherever there is an Oracle Database, you can try Oracle Application Express.  If you have access to a trial of Oracle Database Cloud, or free credit to the Oracle Cloud, you can begin utilizing APEX today.Sign up today, and within a couple minutes, you can start to learn what has led thousands of other users to flourish with the Oracle Database and Oracle Application Express. It's that easy!   Resources: Oracle Application Express Customer Success Stories Fast, Easy Way to Code Smart Apps on Oracle Database Cloud  - Video Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

       Cloud based application development is growing at an incredible pace due to the rise of tethered database cloud services, coupled with modern, intuitive, and powerful development tools. In years...

Big Data

Oracle Analytics Cloud Service is Now Live!

Today we have a guest blogger, Tim Vlamis VP & Analytics Strategist for Vlamis Software Solutions.  Vlamis Software Solutions is an Oracle partner that specializes in the analytic options of Oracle Database including Oracle Advanced Analytics (Oracle Data Mining and Oracle R Enterprise), OLAP, Spatial and Graph, and Database In-Memory options and their integration with OBIEE and business analytics systems.  In this segment, Tim discusses Oracle's new Oracle Analytics Cloud, and the benefits this cloud service can offer their customers.     Now that it’s released, we can talk about Oracle Analytics Cloud (#OAC—pronounced “Oak”).  I’ve heard some confusion about what exactly this is and isn’t, so let me try to clear this up a bit. Basically, OAC is Oracle Business Intelligence Enterprise Edition (#OBIEE) running in the #OracleCloud. In case you thought that was what Oracle Business Intelligence Cloud Service (#BICS) was, here’s how the two differ: OAC Oracle managed Can modify settings Can install your own plugins You determine when you upgrade Can SSH into server Full control over networking including VPN Flexible licensing License by OCPU, unmetered and metered Bring own license of Oracle DBaaS or Exadata Cloud Requires IaaS for network and storage Std $3,000/month/OCPU, EE $6,000/month/OCPU Min 1 OCPU: Std $36,000/year + DB + IaaS Min 1 OCPU: EE $72,000/year + DB + IaaS Includes Essbase Cloud Data Modeler or use BI Admin Tool BICS User managed Cannot modify settings No plugins Oracle updates/patches for you Customer cannot access server Limited network and security options Simplified licensing License by user Requires Schema as a Service No IaaS required $1000/month + $150/month/user Min 10 users, 50GB: $30,000/year No Essbase Cloud Data Modeler   So why OAC? Well, BICS is great for a departmental solution. But if you are in IT and want finer control over your BI instance, you’re going to want OAC. BICS is great to get started, but eventually you’re going to want to graduate to OAC to gain finer control over your environment. Also, Oracle is adding new capabilities to OAC such as access from the new Day By Day app coming out any day now. Also, available with OAC is scenario modeling with Essbase. Another big difference between BICS and OAC is how Oracle is treating the required database license and infrastructure costs. With BICS, Oracle simplified the pricing model, and required a Schema as a Service license (limited to 50GB, and 300GB/month data transfer). That’s what the extra $1000 per month was for. But for organizations that already have a Database as a Service license or want more flexibility, with OAC you un-bundle the database license, storage costs, and Infrastructure as a Service costs and pay for what you need. Finally, with OAC we now have the option of metered licensing by the hour for situations where you are not going to be running an instance all the month. So what’s the difference between Standard Edition OAC and Enterprise Edition OAC? Well, Standard Edition is basically an OCPU-licensing of Data Visualization Cloud Service (#DVCS). Standard Edition is great for departments that access spreadsheet data or raw data via connectors. Each user needs to model the data (light ETL work, joins, etc.) for himself. This can be liberating at first since you’re not relying on some centralized IT department to “map” the data, but after a while users will tire of having to redo the mappings each time they want to share information.     With OAC Enterprise Edition, you add in the capabilities of Answers and Dashboards, and the ability to access a Common Enterprise Information Model (CEIM) that you can edit using the regular Oracle BI Admin Tool, including use of Session and Repository variables. These are high-powered tools that you are going to need in an enterprise deployment of Oracle BI. OAC is now available and ready to use. It’s time to get serious about Oracle BI on the cloud! If you want to talk about your business and how a workshop might help, send me a note to tvlamis@vlamis.com   Resources: Oracle Analytics Cloud - https://cloud.oracle.com/en_US/oac Data Warehouse Asset Tool - http://www.oracle.com/us/media/survey/index-191201.html Oracle Database 12c Release 2 for Data Warehousing and Big Data Whitepaper Procter & Gamble Drives 30X Performance Gains with Exadata (1:43) dunnhumby Increases Customer Loyalty with Oracle Big Data (2:24) Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have a guest blogger, Tim Vlamis VP & Analytics Strategist for Vlamis Software Solutions.  Vlamis Software Solutions is an Oracle partner that specializes in the analytic options of Oracle...

Big Data

For Organizations New to Predictive Analytics, Bet on a Process and Not on a Project

Today we have a guest blogger, Tim Vlamis VP & Analytics Strategist for Vlamis Software Solutions.  Vlamis Software Solutions is an Oracle partner that specializes in the analytic options of Oracle Database including Oracle Advanced Analytics (Oracle Data Mining and Oracle R Enterprise), OLAP, Spatial and Graph, and Database In-Memory options and their integration with OBIEE and business analytics systems. Advanced Analytics Projects are Atypical Successful projects using data mining algorithms often have returns that are well above normal business Returns on Investment. 200%, 500% or even 1000%+ ROIs are not unheard of. So why isn’t there a rush to do more Proof of Concept projects? Having designed and pitched dozens of these, I have concluded that it’s largely because of corporate politics. I’m not using the term “corporate politics” in a pejorative sense, but rather as a fact of life that results from normal business structures and organizational dynamics. So perhaps the question is not “how do we fight better to get funding for new data mining projects?”, but rather it’s “how do we lower the political risk associated with Proof of Concept projects using data mining algorithms and predictive analytic techniques?” We recently did a program with a client which did exactly that. Place a Lot of Bets Think like a venture capitalist. Place a large number of small bets rather than one or two large bets. We recently led a predictive analytics summit workshop at a client’s headquarters where representatives of different functional areas of the corporation were invited to bring their own data for a day-and-a-half of intense data discovery using advanced data visualization and predictive analytics tools (Oracle Data Visualization Desktop and OBIEE 12c). There were roughly 40 participants from groups as diverse as sales, service, finance, operations, and marketing. Everyone sat at round tables organized by function in one large room (a table for sales, a table for finance, etc.). The participants were largely comprised of the business intelligence system’s “power users”. A few had engineering or technical backgrounds that gave them a leg up in statistics and analytics, but most were just smart people interested in their business and data analysis. We also had plenty of help on hand including representatives from the IT staff who could solve potential data connection or data structure issues, a couple data scientists who knew statistics cold, some experts in the software interface who could help with “where do I click?” questions, and some support staff who made sure that all the conference logistics were handled. Amazing Returns The results were incredible. One “discovered” insight provided the >1000% ROI that qualifies as a “home run”. The workshop participant made an appointment with his VP to share the insight and its visualization for the next business day (why wait?). In totality, more than 30 projects were identified as potentially significant areas for future work and development. Was it all sunshine and unicorns? Not at all. Some people struggled to get their data sets fully prepped for predictive analytic processes. Others changed their minds during the middle of working on something and never really finished an analysis. But there was no stigma attached to not hitting the ball out of the park. Everyone who was there contributed to the success of the overall workshop. Perhaps one of the most significant outcomes was the cross-functional collaboration between the different teams. A few hours into the workshop after walking around and observing everyone and helping some people, we identified some interesting and promising results. We asked people to present their initial findings and visualizations to the entire room in the context of their business problem. It got people thinking broadly about the business and how their work might intersect with others’ work. It also showed different visualization and analytic techniques. And it provided a bit of a break from discovery work without losing momentum in the workshop. The Secret to Success is in the Preparation Everyone who does data mining or predictive analytics knows that half the battle and more than half the work is in preparing the data. Likewise, there is a lot of work in preparing a successful workshop and setting everyone up for success. We did several things and leveraged several of our internal processes we typically use on consulting engagements. All participants were required to write up their business cases in advance (we provided them with an outline of questions). Participants were required to submit their individual data sets in advance based on explicit directions. Finally, all participants were asked to review introductory articles and videos on predictive analytics in advance so a common foundation of terms and concepts could be leveraged in the actual hands-on work. There were also “preworkshop” meetings where we reviewed the process and answered questions and made sure that people were making progress on their business cases and data sets. Using one of the data sets, we developed a training exercise customized to their data with a step-by-step data discovery process so that participants were able to see theory applied in practice. The Best Way to Get Started is to… Start Want to get traction and help predictive analytics get going your business? Consider sponsoring a multi-day workshop for a sizeable (but not enormous) group of power users with several different business cases. You may not know precisely which ones will be the winners going in and the proctors may have to accept some degree of discomfort in not knowing the details of the “live” data sets, but it’s basically what venture capitalists do. They spread their bets, enable and assist where they can, and somehow, they manage to do pretty well. If you want to talk about your business and how a workshop might help, send me a note to tvlamis@vlamis.com Resources: Data Warehouse Asset Tool - http://www.oracle.com/us/media/survey/index-191201.html Oracle Database 12c Release 2 for Data Warehousing and Big Data Whitepaper Procter & Gamble Drives 30X Performance Gains with Exadata (1:43) dunnhumby Increases Customer Loyalty with Oracle Big Data (2:24) Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today we have a guest blogger, Tim Vlamis VP & Analytics Strategist for Vlamis Software Solutions.  Vlamis Software Solutions is an Oracle partner that specializes in the analytic options of Oracle...

Customer Stories

Why Entrust Your Cloud Data Management Strategy to a Generic Cloud Platform?

Move to the Modern Cloud Most firms are hesitant to move to the cloud in one step. Instead, they typically begin with an IaaS solution, then gradually establish a complete cloud platform (PaaS) for maximum gains. Commodity cloud vendors offer generic infrastructure services that are useful for basic computing activities, but performance is lacking for enterprise workloads. Unmatched Performance on Oracle Cloud Differences among vendors become even more pronounced when companies embrace cloud platform offerings. As a key component of Oracle Cloud Platform, Oracle benchmark tests revealed that Oracle Database Cloud performed up to 105 times faster for analytic workloads, 35 times faster for online transaction processing (OLTP) workloads, and 1,000 times faster for mixed workloads, compared to other cloud offerings. Amazon Databases Lock You Into Amazon Cloud Oracle Cloud – High Performance, Flexible And Affordable Cloud infrastructure is often just the first part of a multi-step journey. Oracle offers a complete path to the cloud that encompasses integrated IaaS, PaaS, and SaaS solutions. You can simplify your IT infrastructure and minimize capital investments by utilizing Oracle Cloud services for infrastructure, data management, applications, and business intelligence. All Oracle Cloud solutions allow for flexible deployment models, enabling customers to seamlessly migrate their IT workloads from an on-premises data center to the cloud and back again. Best of all, Oracle offers competitive cloud pricing for all types of businesses in every industry, with affordable solutions for companies of all sizes.   Customers Agree!   For more information, visit www.cloud.oracle.com or sign up for a free trial at cloud.oracle.com/en_US/tryit. Resources: Oracle Versus Commodity Cloud Vendors Solution Brief Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Move to the Modern Cloud Most firms are hesitant to move to the cloud in one step. Instead, they typically begin with an IaaS solution, then gradually establish a complete cloud platform (PaaS) for...

Database

Free Oracle Massive Open Online Course (MOOC) on DevOps

We’re announcing a new 4-week Massive Open Online Course (MOOC) on DevOps that features Application Container Cloud Service, Developer Cloud Service, and Management Cloud solutions.  This free MOOC enables potential customers to understand how the Oracle Cloud platform can help them in their efforts to adopt and practice DevOps. Unlike a traditional "course", MOOCs are delivered "online". The lecture is through videos, which are available 24/7. Students from across the world can access the course content, watch recorded demos, take quizzes in self-paced manner. They will have the opportunity to interact with other students (and the instructors) through the forum. There are no late night calls or webex sessions,  and students don't need to travel! Each week, one or more lessons will be released. Each lesson contains the video materials to watch, homework and exercises for you to work on, and a quiz to assess your learning. No lab environments will be provided.   Enroll Here: https://apexapps.oracle.com/pls/apex/f?p=44785:149:109612439839546::::P149_EVENT_ID,P149_PREV_PAGE:5457,147 Course Overview Learn how Oracle’s tools and solutions make application development life cycle faster and predictable for both developers and operations using Oracle Developer Cloud Service. Also learn how Oracle Management Cloud enables continuous monitoring and log analytics to provide predictable high performance in production environments. Students will learn: What is DevOps? Test-Driven Development (TDD) Using Python or Java Agile and Project Management with Oracle Developer Cloud Service Write and Deploy Code using Oracle Developer Cloud Service Continuous Integration and Deployment with Oracle Developer Cloud Service Continuous Monitoring with Oracle Management Cloud Monitoring Enterprise Applications and Rapid Troubleshooting Capacity Planning Prerequisites Familiarity with software development life cycle Familiarity with at least one programming language, such as Java Familiarity with an IDE, such as Eclipse Enrollment Please note: Enrollment is a multi-step process. Until your enrollment is approved, you will not have access to the course materials. Course Cost Free! Course Duration 4 weeks Time Commitment 4 - 6 hours weekly to review the videos (which are short) and take the quiz. Course Completion There are course quizzes for each week. You will have 3 tries for each quiz. Score 70% or greater on each of the quizzes and you will receive a course completion certificate. The questions are based on the course content and the homework. Language English. The videos also have English closed captions.

We’re announcing a new 4-week Massive Open Online Course (MOOC) on DevOps that features Application Container Cloud Service, Developer Cloud Service, and Management Cloud solutions.  This free MOOC ena...

Big Data

Virtual Reality, Chatbots to Dominate Brand Interactions by 2020

Simply Intelligent Intelligent bots are computer programs that leverage artificial intelligence to enable natural conversations with people. The recent advancements in machine learning and the convergence of compute power and big data are bringing artificial intelligence into the mainstream. Intelligent bots will transform every facet of every industry and dramatically improve the customer experience. Oracle is committed to using this transformative technology to help our customers succeed. More than three quarters of brands will deliver Customer Experience through VR and chatbots in the next four years, Oracle research finds the relationship brands have with their customers is set to undergo a technological revolution causing the number of human-to-human interactions to fall significantly. The Oracle report Can Virtual Experiences Replace Reality? polled 800 senior marketing and sales professionals  and revealed how the use of emerging technologies is set to surge by 2020.  Seventy-eight percent of brands expect to provide customer experiences through virtual reality in the next four years, while eighty percent expect to serve customers through chatbots.  However, despite this eagerness to embrace new technologies, many brands are still struggling to make use of the valuable customer and prospect data, with sixty percent not currently including social or CRM data in their customer analytics. The changing customer dynamic The dynamic between brands and customers is changing due to the rise of social, digital and mobile platforms which has led to a growing preference for self-service when it comes to brand interactions.  The research found that 40 percent of senior sales and marketing executives agree customers do more independent research before contacting them to make a sales enquiry, and 35 percent noted their customers preferred to make purchases or resolve a service issue without speaking directly with a member of the sales or customer service team.   VR and Chatbots set to surge In response, brands are looking to implement innovative technologies that allow their customers to continue interacting with brands on their own terms.  In terms of upcoming technology investments, the research found: 78 percent of brands expect to be using VR for CX by 2020; 34 percent have already implemented the technology to some degree 80 percent of brands will be using chatbots for customer interactions by 2020; 36 percent have already implemented them 48 percent of brands have implemented automation technologies in sales, marketing and customer service, with another 40 percent planning to do so by 2020. Data continues to pose a challenge Despite the race to innovate, the reality is that many brands are still struggling to unify, organize and process the growing volumes of customer data they have coming into their business, making it difficult to truly understand and deliver a personalized experience for customers. 60 percent of brands don’t currently include social or CRM data in their customer analytics 41 percent agree smarter analysis of customer data will have the biggest impact on the experience they deliver to their customers 42 percent already collect a great deal of data from multiple sources, but are unable to extract customer insights from it   Supporting Quotes “While virtual reality may be seen as a passing craze by some, the commitment of some of the world’s biggest companies to develop VR products for consumers suggests otherwise.  Brands will always look to experiment with new technologies as they try to find ways of delivering innovative and memorable experiences for their customers,” said Daryn Mason, Senior Director, CX Applications at Oracle. “Brands are at a crossroads. There’s an early-mover advantage to experimenting and launching innovative services while others wait and see, but they need to walk before they can run. The reality is that many brands are still unable to get a complete view of each individual customer so the immediate priority needs to be to organize and get value from the data they already have.  Customers will value a quick, helpful, personalized interaction regardless of how it’s delivered so there’s hope for us humans yet.” Resources: What is a Chatbot Video? Larry Ellison Introduces Chatbots at OracleWorld Chatbots Rising - Learning from Oracle's Suhas Uliyar Chatbots 101 Infographic Chatbots For Developers Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Simply Intelligent Intelligent bots are computer programs that leverage artificial intelligence to enable natural conversations with people. The recent advancements in machine learning and the...

Big Data

Oracle Data Warehouse Solutions: Delivering Business Value From The Datacenter To The Cloud

Leading-edge organizations differentiate themselves through analytics, and are further expanding their competitive advantage with new data sources.  This initiative does include several obstacles and challenges.  Today’s digital world is already creating data at an explosive rate, but the next wave is on the horizon, and this momentum is driven by the emergence of IoT data sources.  These sources include connected cars, smart-appliances, wearable technology and industrial sensor data.  As a result, IT leadership is faced with two diametrically opposed forces.  On one hand, IT resources are consumed dealing with the operational challenges associated with the constant acquiring, deploying and maintaining of necessary infrastructure to support data consumption.  On the other hand, IT leadership is pulled in the opposite direction to support evolving requirements of line-of-business owners.  These polarizing pressures create a bitter dichotomy where IT attempts to address both demands, but becomes incapable of doing so to the satisfaction of all stakeholders.    Why Provision Oracle Data Warehouse In The Cloud? The scale and velocity of incoming data is placing crushing demands on traditional data marts, enterprise data warehouses, and analytic systems. Can a Data Warehouse-as-a-Service (DWaaS) cloud solution help customers meet these demands? Many customers are proving the value of DWaaS through hosted enterprise data warehouses, “sandbox” environments, line-of-business data marts, and database backups.  More advanced monetizing use cases include high-performance data management projects, data warehouses coupled with cloud computing analytics, and big data cloud implementations.  Oracle is the industry's leading data management platform for delivering business insights, and has been recognized by industry analysts for its technological innovations, as well as the ability to provide customers the flexibility of product and deployment choices. Reduced Capital & Operational Costs:  The explosion of newer data sources are exposing the limitations posed by traditional software and hardware platforms.  These burdens generate several negative impacts including self-perpetuating capital expenditures with diminished ROI, reduced ability to service internal customers and an IT staff focused on non-revenue generating activities. Speed of Deployment: Because Oracle has the unique ability to innovate on both hardware and software, customers can deploy Oracle Database and related applications much more quickly than other cloud services. Industry Mandates: Organizations in industries such as healthcare have regulatory requirements mandating the duplication of data.  A cloud data warehouse can help them fulfill these mandates while also reducing risk and ensuring business continuity. Big Data Enablement: Oracle’s data management cloud services enable customers to implement big data solutions—either as standalone platforms or tethered to Oracle Database 12c, for a more complete solution. Accelerated Analytics:  Customers requiring a solution for large-scale systems to conduct intensive analytics, can utilize Oracle Database Exadata Cloud Service as a fast and efficient way to gain extra capacity for temporary projects. Oracle’s Data Warehouse Cloud Differentiation A handful of vendors now offer data warehouse cloud services, but only Oracle offers a complete platform environment.  Let’s now do a double click to understand Oracle’s data warehouse cloud differentiation.  Platform Completeness:  Cloud services were intended to help reduce vendor sprawl and the complexity that arises from having managing multiple technology providers.  However, recent studies show that enterprise customers on average subscribe to several cloud service providers and are forced to expand further.  Oracle offers a complete ecosystem of cloud services including SaaS, IaaS and PaaS.  For many customers, the path to the cloud begins with SaaS, and for this segment Oracle offers the largest software marketplace including 3rd party solutions.  Secondly, customers can choose to leverage Oracle IaaS for sandbox or line-of-business data mart environments, but keep production environments on-premises.  The key value proposition for an Oracle hybrid cloud environment is the 100% compatibility across deployments.  No code changes, same software and same architecture ensure customers can leverage their existing skills and reduce the time to value.  Oracle’s Data Management Cloud platform provides a complete and integrated set of capabilities for building, deploying and managing data driven initiatives. An Optimized Cloud Platform For Analytics:  Oracle Database Exadata Cloud Service combines innovations across hardware and software to deliver a cloud infrastructure designed to provide the highest performing platform for running Oracle Database.  Exadata was designed from the beginning as a cloud architecture featuring scale-out database servers that provide an optimized storage solution for data warehousing that delivers performance gains for large-scale queries and highly efficient data compression.  Exadata software adds incremental value through features that are particularly valuable to data warehousing.  Solutions such as Smart Scan technology offload data-intensive SQL operations from the database servers directly into the storage servers.  By pushing SQL processing to the storage servers, data filtering and processing occur immediately and in parallel.  Only the rows and columns that are directly relevant to a query are sent to the database servers, greatly accelerating analytic queries.  Exadata includes many more software capabilities that enable its unparalleled scalability, performance and availability. The Best Database:  When we consider an environment consisting of data warehousing, big data and advanced analytics there are some innate differentiators found in Oracle Database 12c Release 2.  First, we must consider the importance of availability.  Oracle provides innovations such as Oracle Real Application Clusters, which removes individual database servers as a single point of failure, and Oracle Data Guard, which provides real-time data protection, availability, and disaster recovery.  Performance was another key design tenet, and Oracle Database In-Memory delivers leading-edge columnar data processing to accelerate your data warehouse analytics by orders of magnitude.  Oracle also understands that companies are creating new information architectures consisting of multiple physical data stores (relational, Hadoop, and NoSQL).  Technologies such as Oracle Big Data SQL make this distributed architecture into an integrated reality.  Big Data SQL provides data virtualization capabilities, so that SQL can be used to access any data, whether in relational databases, Hadoop or NoSQL.  Oracle Advanced Analytics offers a combination of powerful in-database predictive-analytics algorithms and open source R algorithms, accessible via SQL and R languages.  Lastly, these heterogeneous IT environments require a facilitating element for data integration and replication.  Oracle GoldenGate solves these issues through streamlined, real-time, data delivery into the most popular big data solutions, including Apache Hadoop, Apache HBase, Apache Hive, Apache Kafka, NoSQL Databases, JDBC, Cloud Databases, data warehouses and many more.  Conclusion Oracle Database is the market leader for data warehousing, built upon a solid foundation of scalability and performance, and augmented by innovative features and powerful analytic capabilities.  Oracle’s goal has been to bring its expertise, proven through on-premise solutions, and replicate this in a suite of data management cloud services that truly deliver executable value for our customers.  Customers can try a variety of our cloud services with free cloud-credits.  In addition, the Oracle Live SQL portal was launched to provide the Oracle database community with an easy way to test and share SQL and PL/SQL application development concepts. Please be sure to download the latest report from Database Trends & Applications featuring the Future Of Data Warehousing - http://www.dbta.com/DBTA-Downloads/WhitePapers/New-Trends-in-Data-Warehousing-2017-7041.aspx For more information on Oracle Data Management solutions, please visit us at  https://cloud.oracle.com/en_US/data-management  or https://www.oracle.com/database/data-warehouse/index.html. Resources: Data Warehouse Asset Tool - http://www.oracle.com/us/media/survey/index-191201.html Oracle Database 12c Release 2 for Data Warehousing and Big Data Whitepaper Procter & Gamble Drives 30X Performance Gains with Exadata (1:43) dunnhumby Increases Customer Loyalty with Oracle Big Data (2:24) Oracle Newsletters - http://www.oracle.com/us/syndication/subscribe/index.html Follow Us On Social Media: Blog: blogs.oracle.com/datawarehousing Twitter: http://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase   Google+ Community: https://plus.google.com/communities/101394147384545405907 YouTube: http://www.youtube.com/view_play_list?p=5E3FA07BB2D4BF6E LinkedIn: https://www.linkedin.com/groups/2129659 Flipboard: http://flip.it/fKOUS Paper.li: http://paper.li/OracleBigData/1384259272

Leading-edge organizations differentiate themselves through analytics, and are further expanding their competitive advantage with new data sources.  This initiative does include several obstacles and...

Database

Announcing The Oracle IaaS TCO Calculator: See The TCO Savings IaaS Cloud Services Can Provide Your Organization

The public cloud is maturing, and businesses are increasingly turning to the cloud to meet their IT needs. Global spending on IaaS in 2019 is predicted to be US$28 billion.  At every layer (software, platform, and infrastructure as a service, or SaaS, PaaS, and IaaS respectively), the motivation for cloud adoption is shifting from technical convenience (such as faster provisioning and pay as you go) to enabling business outcomes. These include digital transformation, developer empowerment, increased agility, deeper customer engagement, and gaining business insight from analytics everywhere. To help potential customers assess the value of cloud infrastructure, the Oracle Infrastructure-as-a-Service team announced the availability of their TCO Calculator tool -  Oracle IaaS TCO Calculator The tool provides the following features: Simple submission of workload requirements; compute, storage and networking along with use case drivers for migration. Clear cost comparison. Showing how much your organization can significantly save by moving to Oracle Cloud IaaS vs. running their workloads on-premises, users can also edit the calculation assumptions to personalize the data even further. Recommended Oracle IaaS Solution outlining savings and benefits to support migration. Personalized assessment report. Following the analysis, customers can request the report which is based on all requirements including use case drivers, with cost breakdown over 3 years, detailed calculations and including applicable success stories. Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

The public cloud is maturing, and businesses are increasingly turning to the cloud to meet their IT needs. Global spending on IaaS in 2019 is predicted to be US$28 billion.  At every layer (software,...

Database

Oracle Code Conferences

Oracle Code is a free event for developers to learn about the latest developer technologies, practices, and trends. Learn from technical experts, industry leaders, and other developers in keynotes, sessions, and hands-on labs. Experience cloud development technology in the Code Lounge with workshops and other live, interactive experiences and demos. Technical Sessions: Learn from technical experts in sessions for developing software in Java, Node.js, and other languages and frameworks. Hands-On Labs: Get hands-on with I/O intensive cloud-native apps and cloud-native microservices in labs led by industry leaders and developers. Code Lounge Experience 3D printing, hear tips from developers at CodeCast, exchange ideas in the IoT Workshop, and much more.   Key Speakers: Thomas Kurian - President, Product Development Thomas Kurian is president of Oracle product development and reports to Oracle executive chairman of the board and chief technology officer Larry Ellison. He is responsible for leading software development and transitioning the company’s technology to Oracle Cloud. For the past several years, Kurian has been responsible for the Oracle Fusion Middleware family of products. Under his leadership, that business became the fastest-growing within Oracle and the industry’s leading middleware product suite. Since 2008, Kurian has also led the development for Oracle’s next-generation business applications, Oracle Fusion Applications Douglas Crockford Douglas Crockford was born in Frostbite Falls, Minnesota, but left when he was only six months old because it was just too damn cold. He turned his back on a promising career in television when he discovered computers. He has worked in learning systems, small business systems, office automation, games, interactive music, multimedia, location-based entertainment, social systems, and programming languages. He is the inventor of Tilton, the ugliest programming language that was not specifically designed to be an ugly programming language. He is best known for having discovered that there are good parts in JavaScript. This was an important and unexpected discovery. He also discovered JSON, the world's most loved data interchange format. He is currently working on making the web a secure and reliable software delivery platform. He has his work cut out for him. Chris Richardson Chris Richardson is a developer, architect, and Java Champion. He is the author of POJOs in Action, which describes how to build enterprise Java applications with frameworks such as Spring and Hibernate. Chris was also the founder of the original CloudFoundry.com, an early Java PaaS for Amazon EC2. Today, he is a recognized thought leader in microservices. Chris is the creator of microservices.io, a website describing how to develop and deploy microservices. He provides microservices consulting and training and is working on his third startup eventuate.io, an application platform for developing microservices. Oracle Developers Blog:  https://blogs.oracle.com/developers/ask-chris-richardson-anything   Register Here: https://developer.oracle.com/code Experience Oracle Cloud With $300 Free Cloud Credits: https://cloud.oracle.com/en_US/tryit

Oracle Code is a free event for developers to learn about the latest developer technologies, practices, and trends. Learn from technical experts, industry leaders, and other developers in keynotes,...

Big Data

Oracle Data Management Solutions: Leadership From The Data Center To The Cloud

          With nearly four decades of data management and analytics innovation, Oracle is off to a strong start for 2017. Industry analyst Gartner has recognized Oracle as a leader among technology providers offering data management solutions. Gartner evaluates solution providers based on a variety of criteria including performance, customer usability, innovations, vision completeness and pricing.  Based on these and other parameters, Gartner has published its latest Magic Quadrant for Data Management Solutions for Analytics, and it is our opinion that Oracle stood out from the competition by offering a truly unique value proposition to its customers, and the ability to execute on its strategy. Figure-1: Gartner 2017 Magic Quadrant for  Data Management Solutions for Analytics          Now Oracle is harnessing the strength of its on-premise solutions to bring this value to customers through unique and differentiated cloud offerings.  Spanning data centers across 19 locations, Oracle offers a complete ecosystem of cloud services including Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), and Data-as-a-Service (DaaS). Figure-2:  Bringing Industry Leading Data Warehouse Expertise To The Cloud  From these service segments, Oracle extends several full-featured data management offerings that align to each step of a customer’s data path. Whether a customer is looking to enable compute services for data ingestion or disaster recovery services for data retention, Oracle’s hybrid cloud design has an end-to-end portfolio that is 100% compatible with on-premise Oracle solutions.  Figure-3:  Oracle’s Data Management Cloud Services          As enterprise data management cloud services become more pervasive, data warehouse solutions are also growing in demand. Data warehouse cloud services offer a variety of benefits. First, as data warehouses gather the data from databases and create a layer that is optimized and dedicated to analytics, DWaaS helps reduce the cost and complexity of managing the associated hardware, and enable analysts to focus on extracting value from their data.  Secondly, as illustrated above, data has its own life-cycle and does not exist in a silo. By having your data warehouse in the cloud it enables data to flow more readily into key destination points. One such destination point is a business intelligence engine. Oracle offers an intuitive and agile BI cloud offering that extends your analytics with the power of the market-leading Oracle Database.  Oracle also supports 3rd party BI and ETL solutions through its IaaS offering to help ensure ease of integration.  Lastly, whether your firm is experienced with Hadoop implementations, or you are looking to begin testing its capabilities, Oracle offers a big data cloud service that aligns with emerging trend for hybrid transactional & analytical platforms.  This dual path approach helps ensure that you can capture the value of Hadoop and integrate these new data streams within your traditional data consumption models. Figure-4: Implementing A Hybrid Transactional & Analytical Platform One of the big challenges for customers is that many public cloud providers lack support for a true hybrid-cloud and-on-premise data warehousing combination, which is the model that is predicted to be the norm for most organizations by the end of 2018.  A second challenge with public cloud providers is that most customers are not looking for point product services, nor are they are satisfied by the incomplete solutions offered.  Oracle offers true enterprise grade cloud solutions that are engineered for a compatible hybrid-cloud deployment.   Oracle’s Data Management Cloud Differentiation: The #1 relational database in the industry, offered fully featured to Oracle cloud customers, a value proposition no other public cloud provider can offer. A high-performance data management cloud offering in the Oracle Database Exadata Cloud Service.  In-Memory database provides rapid analytic scans enabling queries to execute up to 100X faster, which in turn helps accelerate decision making and better agility Oracle offers a fully featured cloud DNA that is purposely engineered to enable a hybrid cloud deployment that is 100% compatible with Oracle databases. 75% faster deployment of Oracle databases and applications for faster time to value. While most public cloud providers utilize commodity hardware, Oracle implements a hardened, enterprise grade, architecture optimized for critical workloads. Industry leading 10x data compression for reduced storage costs and increased performance. Oracle Cloud Machine delivers Oracle Cloud services in your data center, fully managed by Oracle, so that you can take advantage of the agility, innovation and subscription-based pricing of Oracle Cloud while meeting data-residency requirements. Figure-5:  A True Enterprise Grade Cloud Service Current Oracle customers leveraging our data management cloud services fall into two major use categories: Migration To The Cloud New Monetization Opportunities Figure-6: Data Warehouse Use Cases In The Cloud In the first category, we find customers that are taking more common use cases such as enterprise data warehousing, “sandbox” environments and data back-up, and they are migrating portions or all of these work streams into the cloud.  In these use cases, customers value the elasticity of compute and storage resources to help address the peaks and valleys of consumption.  In the second category we find customer use cases that are focused on driving new revenue streams for their companies.  Oracle offers a variety of solutions that guide a customer to a common goal; the ability to leverage analytics to unlock the value of their data and deliver meaningful business value.  Here the key cloud use cases are data warehousing with compute analytics, high-performance data management and big-data services.          As we discussed throughout this blog, it is Oracle’s goal to bring its expertise proven in on-premise solutions, and replicate this in a suite of cloud services that truly deliver executable value for its customers.  Oracle was positioned in the Gartner Magic Quadrant as a leader based on completeness of vision and ability to execute.  In addition, Oracle has been a positioned the highest in the Magic Quadrant for Data Management Solutions for Analytics for the last three years.  For more information on Oracle Data Management Cloud Services please visit us at – https://cloud.oracle.com/en_US/database Resources: Oracle Database 12c Release 2 For The Cloud Solution Brief Data Warehouse In The Cloud Solution Brief Oracle Database 12c Release2 For Data Warehousing & Big Data Whitepaper Oracle Database Exadata Cloud Service: The Enterprise Cloud Platform Engineered for Business-Critical Operations Solution Brief Oracle Database Exadata Cloud Machine Oracle Database Cloud 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/ Note This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Oracle. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

          With nearly four decades of data management and analytics innovation, Oracle is off to a strong start for 2017. Industry analyst Gartner has recognized Oracle as a leader among technology...

Database

Oracle Database 12c Release 2 - Capture The Value Of Data With The #1 Database In The Industry

          Today, Oracle is proud to announce the general availability of Oracle Database 12c Release 2,  the latest version of the #1 database in the industry for on-premises customers.  A few months ago at Oracle OpenWorld, Oracle announced the latest release of Oracle Database 12c Release 2 (12.2) for the cloud.  This initiative helped Oracle solidify to the market that the company is fully intent on developing the best, enterprise grade, data management solution for deployment on-prem or in the cloud.  The availability of 12.2 in the cloud  also allowed on-premise customers to test-drive the new release while gaining exposure to latest features.  In Oracle’s pursuit to continuously transform data management, innovations focus on scalability, performance, security including the ease of mobility to the cloud.  However the most important innovation of this launch consists of Oracle’s goal of empowering hybrid cloud deployments, and now customers can have the same experience and 100% compatibility whether they run on-premise, in the cloud or both. Enterprise Scalability, Start-Up Agility And Performance Oracle Multitenant brings the first major change in the database architecture since the introduction of RAC in 9i. Instead of having a stand-alone database for every application, Multitenant provides a new database consolidation model in which multiple Pluggable Databases (PDBs) are consolidated within a Container Database (CDB). This allows the PDBs to share the memory and background processes of a common CDB, while keeping many of the isolation aspects of single databases. If you are interested in trying out Oracle Multitenant there is a great tutorial available on oracle.com that will step you through all of the different aspects of this new database architecture. Starting with Oracle Database 12c Release 2 it is now possible to horizontally partition or shard a very large database across a pool of independent databases called shards (up to 1000 shards are supported). Each shard runs on it’s own server and storage, which removes the necessity to have shared storage or clusterware! If you have a large OLTP application that you think could benefit from sharding you can follow the steps outlined in one of the new sharding cookbooks to set up your first sharded Oracle Database! Oracle Database In-Memory introduces another major change in the database, this time in the form of a new columnar, compressed format and a new In-Memory column store. Up until now the Oracle Database has only stored data in a row format. With the introduction of Database In-Memory, data can now be populated into memory both in a row format (the buffer cache) and a new in-memory optimized columnar format (the column store), simultaneously. The Oracle Optimizer is fully aware of what data exists in the column format and automatically routes analytic queries to the column format and OLTP operations to the row format. It’s extremely easy to begin using Database In-Memory and you can find details here on the getting started posts on the In-Memory blog that walk you through it.          Lastly, one of the primary design tenets for Oracle Database12c Release 2 was the ability for a customer to run the latest release in their data centers, on Oracle’s public cloud or in a hybrid environment. Providing customers choice, with a range of database services on Oracle Cloud compatible with on-premises environments, is part Oracle’s hybrid cloud strategy, thereby helping customers with their transition to Oracle Cloud. A common architecture and software environment between on-premises and Oracle Cloud facilitates the movement of database workloads, enabling customers to utilize existing skills and resources, and reduce disruptions to their business.  These innovations and product enhancements were put in place to help address customer challenges of today’s environment, but also helping future proof their eventual migration to the cloud.          We hope you found this blog insightful, and please take a look at the resources below for more information on the value of Oracle Database 12c Release 2 for on-premise deployments, along with the value of Oracle’s Database Cloud Services. Resources: Transform Data Management With Oracle Database 12c Release 2 Oracle Technical Network Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database 12c Release 2 Available Everywhere! - Blog Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/    

          Today, Oracle is proud to announce the general availability of Oracle Database 12c Release 2,  the latest version of the #1 database in the industry for on-premises customers.  A few months...

Customer Stories

Oracle A Leader That Offers More Choices When It Comes To In-Memory Solutions

         Industry analyst Forrester recently released The Forrester Wave™: In-Memory Databases, Q1 2017.  The in-memory database market segment is growing at a 19% compound annual growth rate from 2016-2020, and there are many reasons for this solid growth rate.  Forrester states that In-memory database initiatives are “fast on the rise as organizations focus on rolling out real-time analytics and extreme transactions to support growing business demands.”  In addition, the massive amount of data being generated has fueled the growth of in-memory database solutions as customers look to extract value from the data they ingest.          The modern market has changed the way we perceive data.  Data has become a form of capital, as it can provide deep insights into customer profiles, which in turn helps guide corporate strategies towards new revenue generating paths. The market has evolved so much that not only do companies realize that they have to digitize and process data, but market leaders are banking on their abilities to do so faster than their competition.  Forrester explains this best when they comment, “An in-memory database is not just a nice-to-have option anymore — it has become critical to support next-generation transactions, analytics, and operational insights. No one needs yesterday’s data tomorrow!”         So what is an in-memory database?   Forrester defines an in-memory database as “A database that stores all or most critical data in DRAM, flash, and SSD on either a single or distributed server to support various types of workloads, including transactional, operational, and/or analytical workloads, running on-premises or in the cloud.”  Forrester also establishes the top in-memory database workloads commonly seen across various vertical industries as real-time apps that need low-latency access to critical business data, customer analytics to deliver improved customer experience, Internet-of-things (IoT) applications that can improve operational efficiency and mobile apps that need integrated data.  Oracle believes the definition and use cases correlate well with why it was ranked as a leader by Forrester in the report.  Providing an in-memory solution is more than dropping a database on flash storage or DRAM memory within a server.  In-memory solutions are not standard IT solutions, but rather an IT solution that drives significant revenue or cost saving opportunities.          Oracle believes that it was listed as a leader for several reasons.  The first being flexibility and choice, as customers have the option of choosing between two solutions, Oracle TimesTen In-Memory Database and Oracle Database In-Memory products.  With the combination of these two options, customers can deploy any type of application — transactional, operational, and analytical.  Oracle offers a third high-performance option, Oracle’s Exadata Appliance which is designed for larger in-memory footprints.  In addition to its on-premise solutions, Oracle is one of the few providers that also offers a cloud based data management platform.  This is a critical differentiator as many solution providers offer products that are capable of being cloud deployed, but very few provide a comprehensive platform that is purpose built, optimized and designed for the cloud.  In addition to product choice, customers also have a choice of deployment.  Customers can choose an on-premise solution, a cloud deployment, or a hybrid approach.  Customers will benefit from a user experience that is 100% the same on-prem or in the cloud, and they can leverage their existing skills across both. As an example, a customer could choose a hybrid cloud deployment with their standard Oracle database on-premise, but leverage Oracle’s Database Cloud Service for in-memory options that provide orchestration, automation and management tools to help customers ensure they deploy a solution at its optimal potential.         Lastly, another parameter that Oracle believes helped elevate it to a leader position was its roadmap and ability to execute.  Forrester cites, “Its road map includes performance enhancements with faster decompression using software-in-silicon, in-memory replication, a high degree of automation, in-memory flash extension, and NVRAM support.”  In addition, this Forrester Wave reviewed Oracle’s 12.1 edition, but Oracle has since launched its Oracle Database 12c Release 2 for the cloud first.  In Oracle’s latest release customers can experience improved data mobility, increased security and key in-memory innovations.  These innovations include –          We hope you found this blog informative, and we encourage you to read the Forrester Wave report, and for a deeper assessment of the vendor landscape contact Forrester to view detailed product evaluations and adapt criteria weightings to fit your needs through the Forrester Wave Excel-based vendor comparison tool.  For more information please visit the resources below. Resources: Oracle Database In-Memory Product Page Oracle Database In-Memory Whitepaper Oracle Database In-Memory Customer Case Study Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

         Industry analyst Forrester recently released The Forrester Wave™: In-Memory Databases, Q1 2017.  The in-memory database market segment is growing at a 19% compound annual growth rate from...

Customer Stories

MCH Strategic Data Standardizes on Oracle Cloud

Earlier this month I spoke with Brian Vogelsmeier, Director of IT for MCH Strategic Data about his decision to move his company's client facing systems to the Oracle Cloud. Listen to the complete interview or watch Brian describe why he chose Oracle Database Cloud services. MCH Strategic Data has been in the business of compiling comprehensive, high-quality institutional databases for more than 50 years. In response to their business challenges, the company deployed Oracle Database Cloud services to ensure fast and predictable performance, reliable security, and elastic scalability of its client facing systems. They chose Oracle Cloud for the reasons many SMB customers are choosing Oracle over other cloud vendors. No new skills or tools are required - MCH was able to align their existing IT skill-sets and processes in the Oracle Cloud Secure client access to MCH data services - For many companies, ensuring data security in the cloud is a critical capability. Integrated cloud services - Infrastructure, platform, applications - One of the key reasons customers like MCH choose Oracle Cloud over competitors and what differentiates Oracle Cloud. Brian was quoted summarizing why they standardized on Oracle Cloud: "With a staff of less than 100 people, we rely on third-party vendors to manage many of our technology systems. When one of the vendors needed to be replaced, we standardized on Oracle as other vendors failed to meet our needs. We selected Oracle Cloud – Oracle Database Cloud Service, Oracle Compute Cloud Service and Oracle Storage Cloud Service – for our in-house application development and testing environment in order to provision new databases environments fast, accelerate time to market from months to weeks, scale to meet business growth and increased workloads, and securely share data with clients." — Brian Vogelsmeier, Director of Information Technology, MCH Strategic Data   You can learn more about the Future of Data Management in the cloud to see for yourself why Oracle Database Cloud services and PaaS offerings make it easy to move, secure, and optimize workloads, development, and data in the cloud. Try Oracle Database Cloud Service Free for 30 days! This is blog series explores how customers use Oracle Database Cloud solutions to innovate and change the way business works. Please share your feedback about this story or comment about your experience with Oracle Database Cloud Services. Follow us on: Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://www.linkedin.com/groups/3616890 Blog: https://blogs.oracle.com/database/    

Earlier this month I spoke with Brian Vogelsmeier, Director of IT for MCH Strategic Data about his decision to move his company's client facing systems to the Oracle Cloud. Listen to the complete inter...

Database

Oracle Cloud Days Houston - Innovation to grow. Insight to control.

Join us at Oracle Cloud Day on February 8 at JW Marriott Houston Galleria. This year we will showcase how unprecedented levels of insight gained from data are creating entirely new business categories. We will also explore how business leaders are taking advantage of the economics of information and connections to power business growth. Save the date and let us update you on our latest cloud capabilities, share with you our customer case studies and find out how your cloud strategy is developing. Highlights Over 20 sessions featuring Oracle and Industry Experts, partners and customers Cloud Visionary Keynote from R “Ray” Wang with Constellation Research 3 Separate Tracks featuring our PaaS/IaaS, Hybrid Cloud and Developer messages Use cases, demonstrations & networking Spend the day hearing about Oracle’s Cloud solutions.  This event has content appropriate for Tech, BI, Hardware, SMB and Public Sector teams and is packed with cloud experts and 21 breakout sessions so there is something for everyone!  The event Keynote is from cloud guru R "Ray" Wang, Principal Analyst, Founder, and Chairman of Constellation Research, Inc. Ray is a dynamic speaker and author of the popular business strategy and technology blog "A Software Insider’s Point of View". Oracle Cloud Day Agenda We have arranged a morning agenda of keynotes from our customers, partners and guest visionary speakers. After lunch, you can move around the three cloud tracks and select the agenda which meets your business objectives and priorities. The tracks will cover: Cloud Platform, Cloud Infrastructure and Cloud Development sessions. Agenda highlights include: Morning keynotes – customers, partners visionary speakers Use cases and demonstrations Panel discussion Multiple tracks for IT Leaders, Developers, Architects Cloud Platform, Infrastructure and Development Sessions Networking and meetups Register Here or by calling 1.800.820.5592 ext. 4779 and discover how cloud ecosystems can drive your digital transformation and make data driven business a reality in your organization.

Join us at Oracle Cloud Day on February 8 at JW Marriott Houston Galleria. This year we will showcase how unprecedented levels of insight gained from data are creating entirely new...

Database

Oracle Cloud Platform Expands to Help More Organizations Build and Deploy High-Performance Applications

Today, I'm very excited to have a new guest blogger, Sohan DeMel, VP of Product Strategy – Database Development.   High Performance Database Cloud Services are Now Available for Developers, SMBs, and Enterprises Companies of all sizes are rushing to Cloud for a variety of reasons.  Rapid time to value, DevOps, CAPEX reduction, OPEX reduction, closing of data centers, keep up with fashion, … and the list goes on.  A high performance Database Cloud Service is key to ensuring that applications perform well in the Cloud.  And while many Cloud providers tout their services, do they deliver database performance, high availability, and compatibility where it matters most?  Does a high performance Database Cloud Service always equate to high cost?  Why is Oracle’s announcement of database cloud services on bare metal compute a big deal? Database cloud services and performance differentiation at every scale For developers, SMBs, and departmental applications:  Exadata Express with 1 OCPU and 50 GB of compressed and mirrored storage.  For Misssion Critical OLTP, Enterprise Data Warehouse and Database Consolidation:  Oracle Database Exadata Cloud Service that starts at 16 OCPUs and goes up to 1,000’s of OCPUs, and petabytes of storage Oracle Exadata is well known for its industry leading performance, and is widely adopted by the largest Banks, Telco’s, and large enterprises around the world.  Both the Exadata Express service and the Oracle Database Exadata Cloud Service run on this industry leading platform.  The former is based on a shared infrastructure model with many customers running on a shared Exadata system, and the latter is based on a dedicated infrastructure model that dedicates a given Exadata system to a single customer.  So, what about customers who need between 2 and 16 OCPUs?  Do they also get differentiated performance with Oracle Database Cloud Services? For SMBs, and enterprise applications:  Oracle Database Cloud Services on virtual machines and Oracle Database Cloud Services on bare metal compute start at 2 OCPUs and go up to 36 OCPUs, with up to 14TB of mirrored storage. Oracle Database Cloud Services on virtual machines run on shared infrastructure with network I/O.  Oracle Database Cloud Services on bare metal compute run on dedicated infrastructure with locally attached NVMe flash storage. With the arrival of Oracle Database Cloud Services on bare metal compute, Oracle delivers industry leading performance in the 2 OCPUs to 16 OCPUs category as well - delivering 50x greater performance (1.6M IOPS) vs. Amazon RDS’ best metric of 32K provisioned IOPS -  http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html - and 40x greater I/O bandwidth (20 GB/sec) vs. Amazon RDS’ best metric of 500 MB/sec ( http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html ).  In addition to IOPS and I/O bandwidth, enterprise customers often want predictable latency or response time.  Since Oracle Database Cloud Services on bare metal compute is a dedicated, single tenant service with no noisy neighbors, enterprise customers get the very predictable response times needed for their enterprise applications. Highest compatibility cloud services for customer applications What environments do customers choose for running applications and databases on-premises?  Some customers run on virtual machines, some on bare metal infrastructure, and others on Oracle Engineered Systems.  While performance differentiation is important, customers often want a Cloud environment that mimics what they run on-premises.  By offering similar virtual machine infrastructure, bare metal compute infrastructure and Oracle Engineered Systems infrastructure in the Cloud, Oracle makes it easy for customers to move their workloads to Cloud.  With Oracle, customers don’t have to ‘port’ their workloads to Cloud.  Everything works the same way as it does on-premises. Affordable database cloud services starting @ $175/month Developers need fast access to affordable compute and storage infrastructure to build applications.  SMBs often have the performance and high availability needs of enterprises, but can seldom afford the cost of enterprise systems.  Oracle Exadata Express cloud service meets this need by offering a fully functional, fully managed Oracle Database Cloud Service at an extremely affordable price point.  Customers get access to the complete feature set of the Oracle Database starting at only $175 per month.  Customers needing high speed analytics, can run a higher tier of the same service that comes with Oracle Database In-Memory and a large memory footprint, and still pay only $950 per month. With the availability of Oracle Database Cloud Services on bare metal compute, SMBs and enterprises have access to an elastic database service on a dedicated high performance system.  Customers only pay based on how many OCPUs they use and can vary consumption over time – helping customers reduce cost, while gaining greater flexibility. Summary The introduction of Oracle Database Cloud Services on bare metal compute completes Oracle’s differentiated portfolio of database cloud services.  From differentiated performance at every scale, to compatibility with on-premises applications, to low cost and affordable cloud services for developers and SMBs, and enterprises, Oracle provides customers with a broad and compelling set of Database Cloud Services. For more information on Oracle's Database Cloud Service on bare-metal servers, please be sure to check out the resources below. Resources: Oracle Database Cloud Service On Bare-Metal Servers Page Video - High-Performance Database on Oracle Bare Metal Cloud Services Oracle OpenWorld Launch Topic Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Today, I'm very excited to have a new guest blogger, Sohan DeMel, VP of Product Strategy – Database Development.   High Performance Database Cloud Services are Now Available for Developers, SMBs, and...

Database

Increase Business Continuity With Oracle Database Backup Cloud Service

In prior publications we have discussed how companies are modernizing their data management strategies, and evolving to see data as a form of capital and the catalyst for driving better business decisions.  In addition, data management systems have also become the foundation for many business critical applications.  In a survey conducted by 451 Research entitled, The State of Application Uptime in Database Environments, they found that respondents reported that nearly half of their applications were critical to customer engagement including eCommerce, B2B services, customer-facing services or customer facing media.  These applications directly impacted revenue, but also brand value.  Even where enterprises have implemented scale out infrastructure to help modernize many of their IT operations, many firms have yet to elevate other IT systems to directly address the critical symbiotic relationship between their database and applications. Many firms see the pains of database and application downtime, as well as data loss, through the lens of the operational challenges that follow a disaster, but to provide additional color to these events, IDC estimates that application downtime costs the collective Fortune 1000 an average of $1.25 to $2.5 billion per year. More granularly, IDC estimates the average hourly cost of an infrastructure failure at $100,000/hr, but puts the hourly cost for the failure of a critical application between $500,000 to $1M/hr.  Many organizations are increasingly adopting cloud-based IT solutions and migrating on-premises workloads to public clouds. The motivation is clear, as cloud computing allows users to tap into a virtually unlimited pool of computing and storage resources.  The good news is that the demand for cloud services associated with backup and recovery is beginning to take flight.  Markets & Markets Research projects that the Cloud Storage market size is estimated to grow from USD 23.76 Billion in 2016 to USD 74.94 Billion by 2021, however this does include Primary Storage, Disaster Recovery & Backup Storage.   Oracle Cloud Service provides a robust solution to assist with maintaining the integrity of your database systems.  Part of the Oracle Cloud Platform as a Service (PaaS) portfolio, Oracle Database Backup Service is a cloud-based storage solution for Oracle Database backups.  This cost effective, scalable, low-cost backup solution can be used to consolidate storage infrastructure or as an integral part of a multi-tier database backup and recovery strategy.  Let’s take a look at some of the key use cases for Oracle Database Backup Service - Consolidation - Active or “Hot-Data” is typically maintained on high-performance, high-cost storage solutions, while less active or “Cold-Data” is moved to more cost-effective storage solutions.  Since industry trends such as federal regulations are mandating the storage of such data for longer periods of time, it’s imperative that companies find cost effective and scalable solutions.  Oracle Database Backup Service is ideal for organizations that wish to consolidate and virtualize their storage infrastructure as part of a move to the cloud.  Unlike traditional local storage solutions, cloud backups are immediately accessible whenever a restore is required.  And since cloud backups are accessible from anywhere via the Internet, the backups can be used to create clones for test, development, or QA environments, on-premises or in the cloud. Tiered Storage – As we stated above, primary storage includes new and “Hot-Data” from mission-critical applications and databases, while secondary data consists of 30-to 90-day-old data that needs to be kept on hand for business continuity or to meet specific regulations or legal compliance standards.  Oracle Database Backup Service gives you a whole new set of options for storing and maintaining these various tiers of data.  For example, you might perform backups to the Fast Recovery Area of local disk drives, then move data to either tier 2 storage or to the cloud. Likewise, for small, non-critical databases, cloud storage can serve as tier 1 storage. This strategy allows you to avoid purchasing, managing, and maintaining lots of disk and tape backup systems, while dramatically simplifying recovery operations. Oracle Database Backup Service leverages the same infrastructure as other Oracle Cloud services including provisioning, identity management, administration, and monitoring. Seamless integration, convenience, and flexibility have already motivated many Oracle customers to adopt this service. It is a cost-effective alternative to writing, shipping, and storing data in tape vaults. This simple to use service offers several customer benefits – No CapEx - Virtually unlimited scaling capacity with no up-front capital expenditures or hardware costs. Simple & Fast – Use familiar skills and interfaces to easily store and backup databases in the Oracle cloud.  Leverage an easy to use online dashboard to monitor your service and see how much storage capacity you’ve consumed.  Benefit from seamless migration between on-premise and the public cloud. Easy Provisioning of Test and Dev Environments – Since cloud backups are online, they can be used to quickly clone databases to create custom test, development, or QA environments. End-to-End Security – Oracle cloud offers enterprise-grade data protection and privacy policies.  Your data is encrypted at the source (optionally compressed), securely transmitted to the cloud, and securely stored in the cloud. You keep the keys at your site, not in the cloud. High Reliability - Whenever data is written to the Oracle Database Backup Service, it is replicated across multiple storage nodes in the cloud. Customers also benefit from a reduced vendor count, and end-to-end support from Oracle.            Oracle’s Database Backup Service serves as the book-end to Oracle’s data management cloud services.  Complement your existing backup strategy with Oracle Database Backup Service to help reduce your data center costs, minimize risk, and ensure the continuity of business through constant access to your company’s data capital.  Your data is always available and always secure, and you can quickly increase storage capacity when needed. Below you will find several key resources including videos, solution briefs and demos to understand the value of this service. Resources: Oracle Database Cloud Backup Service Demo Oracle Database Backup Service Solution Brief - Secure Backup in the Oracle Cloud Oracle Media Network - The Rise Of Data Capital Oracle OpenWorld Launch Topic Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

In prior publications we have discussed how companies are modernizing their data management strategies, and evolving to see data as a form of capital and the catalyst for driving better...

Database

Oracle Massive Open Online Course (MOOC) For Cloud DevOps

Get a head start in the new-year with Oracle Cloud Dev/Ops.  Whether you’re developing Java applications or massive scale enterprise applications with Oracle Database, join us in this free Massive Open Online Course (MOOC) to learn about how Oracle’s Cloud DevOps tools and solutions empower you to make application lifecycle faster and predictable for both development and operations using Oracle Developer Cloud Service. In this 3-week Massive Open Online Course (MOOC), you’ll learn: • DevOps Overview • Test-Driven Development (TDD) Using Python or Java • Agile and Project Management with Oracle Developer Cloud Service • Continuous Integration and Deployment with Oracle Developer Cloud • Write and Deploy Code using Oracle Developer Cloud Service Course Approach - Unlike a traditional "course", this one is delivered "on-line". The lecture is through videos, which are available 24/7.  Take the course at your own pace, and interact with other students (and the instructors) through the forum. There are no late night calls, and you don't have to travel! Each week, one or more lessons will be released. Each lesson contains the video materials to watch, homework and exercises for you to work on, and a quiz to assess your learning. Come join this free course and meet over a thousand of your peers while getting complimentary access to cloud trial environments for 4 weeks!!   It’s a great opportunity to find out how Oracle Cloud helps you make the transition from traditional software development and deployment models to DevOps easy and seamless.  Course Details -  Start Date: January 13th 2017 at 12:00 AM GMT  End Date: February 3rd 2017 at 12:00 AM GM You can use the link below to find the time that aligns with your respective time zone. https://www.timeanddate.com/worldclock/ For More Details - https://apexapps.oracle.com/pls/apex/f?p=44785:145:0::::P145_EVENT_ID,P145_PREV_PAGE:5365,143 Resources: Oracle Developer Cloud Page Oracle IaaS Cloud Services Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Get a head start in the new-year with Oracle Cloud Dev/Ops.  Whether you’re developing Java applications or massive scale enterprise applications with Oracle Database, join us in this free Massive...

Big Data

SMBs like Pragmatyx Find Moving to the Oracle Cloud Fast, Easy, and Cost Effective

SMBs are utilizing the benefits of enterprise-grade capabilities delivered by Oracle Database Cloud services for rapid application development, fast and predictable performance, reliable security, and elastic scalability to support their growth. On December 6, I spoke with Paul Van Hout, CEO and founder of Pragmatyx, about his decision to standardize on Oracle Database Cloud Service, leveraging Oracle PaaS and IaaS for efficiency, security and 24/7 availability. You can listen to the entire interview on-demand. Pragmatyxs is a leading technology consultant and systems integrator. Their primary focus is working with IT, Manufacturing, Supply Chain, Quality, and Marketing to ensure smooth communication between any ERP and PLM system and a company’s barcode and product labeling software. All of Pragmatyxs’ clients’ product labels must comply with industry and regulatory standards, across dozens of countries. Pragmatyxs already uses Oracle Database on premises, and Java for product development.They chose to migrate both to the Oracle Cloud over competitive cloud offerings in order to reduce the amount of time that they spend on maintenance and support, without having the upfront hardware costs, without needing to know backup and recovery commands, and without having to perform complex tasks such as database software upgrades and patching. Here is what Paul had to say about moving their label service to the Oracle Cloud. “We launched our Cloud based label printing service for our partners and remote facilities which was a strategic initiative for our business. We have 15 employees, so we needed a solution that was the most efficient and secure with 24/7 availability” said Paul Van Hout, CEO and Founder, Pragmatyxs. “By using Oracle Database Cloud Service, PaaS and IaaS. Pragmatyxs utilizes Oracle’s Database Cloud Service, Java Cloud Service, Infrastructure as a Service, and Messaging and Cloud Service. We are maximizing the efficiency promised by the Cloud while giving our customers a better, more configurable product. With Oracle, we can stay ahead of the industry and compete like we never could before.” As an SMB with limited IT resources and budget, Pragmatyx can now access Oracle Database Enterprise Innovations like Multitenant, Security, High Availability on a modern Infrastructure in the Oracle Cloud – saving money and improving their time to market to grow their business. They chose Oracle Database Cloud Platform over competitors because of their on-premises investment in the Oracle Database, confidence in Oracle’s reputation and cloud strategy. With Oracle Cloud they can now use the same familiar software and tools in the Oracle cloud. No application changes, No new skills required. Its easy to move to the Oracle Cloud. Watch Paul describe his experience in the Oracle Cloud The Oracle Cloud Platform offers an integrated experience across Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) to enable SMBs like Pragmatyx to develop, deploy and manage any application or workload and utilize the same best-in-class features that enterprises leverage. You can learn more about the Future of Data Management in the cloud to see for yourself why Oracle Database Cloud services and PaaS offerings make it easy to move, secure, and optimize workloads, development, and data in the cloud. Try Oracle Database Cloud Service Free for 30 days! This is blog series explores how customers use Oracle Database Cloud solutions to innovate and change the way business works. Please share your feedback about this story or comment about your experience with Oracle Database Cloud Services. Follow us on: Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://www.linkedin.com/groups/3616890 Blog: https://blogs.oracle.com/database/

SMBs are utilizing the benefits of enterprise-grade capabilities delivered by Oracle Database Cloud services for rapid application development, fast and predictable performance, reliable security, and...

Big Data

The Business Value Of Creating An Analytics Data Mart

For our blog segment this week, I am pleased to have as our guest blogger David Teszler, Senior Principal for Advanced Analytics & Market Development. Today he is going to help us understand the business value of creating an Analytics Data Mart, and how Oracle's broad portfolio of data management solutions can assist with this endeavor.    In a previous entry, my colleague Brian Spendolini, reviewed best practices and options or moving an Oracle database to the cloud.    However, why would you want to move an Oracle database to the cloud?    Who wants this data?   Who are the consumers?   What can they get on the cloud that they can’t get on-premise?  What constraints can be removed?  Who cares?       One answer to these questions is to serve the demand from analytic domain experts  (data scientist) in every line of business.   What are their challenges and why would you, a reader of the Database Insider, want to talk to them?  Hint, they are hungry for the data you manage and they are not happy being hungry.    Machine Learning and advanced analytics is work that wants to follow the data but often can’t. The data housed (trapped?) in your data warehouse and transactional system wants to be used for analytic experimentations.  You really don’t let analytic teams run endless table scans, derive their own columns and embed new analytic objects in a running application.   However, it is your best data, cleanest data and most trusted data.  It is what is going on inside of your organization.  While it’s not the only data your data science teams want, it is essential data.   How can they design an algorithm to help sell more widgets without data on the sales of widgets, service experience of widgets, what widgets sell with other widgets, who’s best as at selling widgets and what risks do my widget expose my firm too?  Why are we making this so hard on the Domain Experts ? The data analytics pipeline process is broken. It simply takes too long to unite data with your analytics. Your scarcest resources wait for data.   Your best analytic teams are forced to ‘wrangle’ data that’s already organized.  Why are they made to download database data to a spreadsheet and load to an analytics engine under their desk or yet another format on another cloud ?  You did the work but they can’t use it.   Then there is a question of accuracy as your best analysis is done on subsets and snapshots. Scarcity begets scarcity Your domain analytics teams resort to this process because while you posses the data they need and the know how to deliver it you are constrained by infrastructure.   It would be nice to give everyone their own Exadata but your budget doesn’t support that.  The infrastructure scarcity creates data scarcity that exaggerates your true scarcities of time and skills. Lost Time is Lost Money Whatever the accuracy of the models, they are delivered later when time is lost to data management.  While this time is lost forever, the analytics value is in - • Retaining A Customer • Servicing a Product Before an Outage • Detecting and Preventing Fraud Data Context Matters, Don’t Destroy It Just To Analyze It Step one is reversing the practice of extracting and moving data to analytics platform.  The extraction step immediately requires a data wrangling step to turn it into something your analytic tool can use. The extract also eliminates relationships important to your analytics (Master, Detail, Sales to Customer, Sales to Channel, Sales to Time, Sales to Cost etc.)   The wrangling is therefore more complex than simple format changes, it is the entire of context of your business domain: Customer, Store, Product, Service, Risk, Pricing and Supply Chain. This context exists in your applications, data marts and data warehouses.  It’s just cutoff from machine learning. Extracts necessarily destroy this context. If the context is in question so are the analytics. Start with your data as is.  All of it. Just Clone to the Cloud and Address Scarcity If you are a data manager, provide a lab that contains the full data context and analytics tools on the same platform.   This could be an operational data store, a full data warehouse or a few tables from the data mart.   In ONE STEP, you address four scarcities created by your existing data pipeline: Time, Skills, Data and Infrastructure.     Using multi-tenant you can plug in multiple sources into the same database service.   Now your domain team can have experiment on more data.   Since this is just another Oracle database, you can apply data security using the same tools you use today including carrying over your current redaction and masking policies.    If you are an analytics consumer, ask to set up a full context lab and exploit the embedded analytics in the database.    And YES you can add your own data and derive your own variables and even source new data  on the cloud and access all data using familiar languages. Machine learning libraries are included What about the analytics?  Here you return to the premise of seeing the database as an analytics engine. To realize this vision, you simply use the embedded analytics tools in Oracle Database Cloud High Performance Edition that include: Statistical SQL, Data Mining, Advanced Analytics, R, Graph and Spatial Analytics.  And Text Analytics These tools are included in the Oracle database service High Performance Editions.     You can also leverage our BI and Visualization Service against these sources.   Of course, you can bring your own tools, and Zepplin and Jupyter notebooks and run them on our compute service.  Make Your Analytics Domain Expert Happy Brian showed us how to apply everyday common Oracle practice to move whole databases to the cloud.   Here we outlined how you can help one of your user communities address four common scarcities to deliver more accurate analytics sooner.   Unite their need for data and compute by leveraging your current skills and the cloud.    You try it here with our partner Vlamis Software Solutions.   Resources: Oracle OpenWorld Launch Topic Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Media Network - The Rise Of Data Capital Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

For our blog segment this week, I am pleased to have as our guest blogger David Teszler, Senior Principal for Advanced Analytics & Market Development. Today he is going to help us understand the...

Big Data

Oracle Data Management Cloud Services Customer Insights - SMB Perspectives

A few weeks ago I had a great visit with two customers along-side one of our partners, Vlamis Software Solutions.  The first customer focused on fashion retail and the second customer is a large restaurant and hospitality brand.  The first customer is a growing Small & Medium Business (SMB), with revenue under $500M.  The second company has revenue larger than the $1B ceiling for the SMB label.Their business  behavioral patterns are more akin to a medium sized organization.  This IT market segment is of focus for many technology providers as it reached a $1B market value to close out 2015, and in the US alone the SMB cloud computing & services market grew from $43B in 2015 to $55B in 2016.  It was for this reason that when offered the chance to go meet with these customers, I was excited to hear from their own voice, what were the IT challenges, what were their goals to improve their business and where could Oracle be of assistance in modernizing their organization. For the purpose of this blog, we will look that those elements and how they pertain to data management.     Let’s first look at some of the challenges the two customers were looking to address, in order to grow their business. We visited the retail clothing provider first, and the initial point that struck me was the number of individuals that indicated that they were new to the organization.  The firm is doing well, but IT management had the foresight to engage with executive leadership to emphasize that their growth had been organic, and due to the founders’ expertise in fashion/retail, however the market was changing and new strategies were needed to stay ahead of the growing competition from direct online retailers.  Their first challenge was that they had no means to get their arms around the amount of data they were taking on.  Newly updated PoS systems and eCommerce tools were gathering significantly more data than they had consumed before.  This was a positive challenge, but one that was creating a fly-wheel effect.  As Line-of-Business managers had access to more data to empower their decision making, the more data they wanted stratified and cut to their specific analytical paths, and so data-creates-more data.  To further compound the issue, as with all IT staffs, they were being asked to do more with less, and the firm now wanted to roll out new merchandising tools and a potential rewards program to gather more data and help in strategically targeting customers.  These two polarizing forces created the 3rd key problem.  They did not have the resources to maintain existing operational IT activities, and certainly did not have the capability to put in place tools to capture the value of all the inbound data coming in. The second company, while over twice the size of the first company, was experiencing similar challenges.  This firm was growing quickly, as they were growing organically within their primary vertical of food retail, but were growing even faster via brand expansion (through acquisitions) into other neighboring verticals such as hospitality.  While their IT staff was much larger, it was this inorganic growth that was creating bottlenecks in current IT projects in flight, and forcing resources onto company integration activities.  These acquisitions were growing the business, and providing access to larger, incremental, data pools, but they were on vary different systems, and would take time to integrate.  The larger firm was ahead in terms of having a large loyalty program, but was unable to fully harness the power of the inbound data due to a lack of resources.  Their biggest concern for future growth was the growing industry demand by younger audiences for boutique restaurants featuring local, organic and unique food palettes.  How could they go develop products and market to this demographic of younger customers without the ability to capitalize on the data they already had. Figure-1: SMB Data Management Challenges   Both firms are considered disruptors or leaders in their respective industries, and so their goals were specifically aimed at improving operational efficiency in order to reduce costs and free financial resources to stay ahead of their competition. Now, let’s take a look below at their individual goals – Figure-2: Customer Goals As one can see, despite the size and resource differences, their goals are quite similar. My deduction was that since both firms were growing at such fast scale, that neither company was able to put in place a strategy to ensure IT resources were put in place to walk “lock-step” with company goals.  Now each firm was trying to modernize their IT resources and strategies to keep their competitive edge. Another common element, was that both firms were open to utilizing our partner and Oracle services to help with next steps, as they both organizations needed all their IT staff focused on key IT projects currently in flight.   After the customer meetings and an internal discussion with the partner we carved out some viable options for both customers.  The strategy for both organizations was a “crawl-walk-run” path to enabling them to create an analytic warehouse for the purpose of extracting key data points for critical business decisions. Figure-3: Customer Recommendations While the high-level end solution of delivering to the customer the means to create an analytic warehouse, the path was different.  The retail customer was locked on their current PoS and merchandising projects, thus the recommendation was that they first gain some experience with Oracle’s Database and Analytics cloud services through a free trial.  Then the customer would work with our partner to deploy a proof-of-concept around a particular data set they wanted to use to solve an operational issue. If the PoC met their desired goals, then the customer would migrate their data sets to Oracle’s DBaaS cloud.  The second phase would consist of migrating their traditional IT infrastructure to Oracle’s IaaS to consolidate vendors and move their IT staff off of managing a datacenter, and instead focusing on adding strategic value.   For the larger customer, they would keep key staff working on systems integration from newly acquired resources, while working with Oracle’s partner to develop a targeted PoC.  Since this customer did not want their critical data in the cloud, the proposal was to consider the Oracle Cloud Machine to enable Oracle’s public cloud at the customer’s datacenter. After this, the customer would then look to migrate their traditional IT workloads to Oracle’s IaaS, and for the 2nd phase of growth, Oracle would return to discuss options surrounding IoT and Big Data solutions.   I hope you found this blog insightful, as I found the time spent with both customers exciting and educational. I learned that customers across different industries and of different sizes and skill sets share common challenges and obstacles, but they also share similar goals on how to improve their business trajectory.  Both customers had lofty goals and aspirations, but were grounded and realistic as to the priorities that lay before them.  In taking a consultative approach, our goal was to present solutions, as well as guidance on which options were most viable within their specific timing and scope.  Rather than force them down a fixed path, our goal is to help them grow strategically to ensure we can be their each step of the way.  For more information on Oracle’s data management cloud solutions, as well as some key SMB customer video testimonials, please see the links below.   SMB Customer Testimonial Videos: MCH Strategic Data  Pragmatyxs ARLINGTON ORTHOPEDIC ASSOCIATES mFrontiers Resources: Oracle OpenWorld Launch Topic Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Media Network - The Rise Of Data Capital Oracle Database Cloud Service 30-Day Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

A few weeks ago I had a great visit with two customers along-side one of our partners, Vlamis Software Solutions.  The first customer focused on fashion retail and the second customer is a large...

Solution-Soft Ensures Faster Time to Market for Customer's Database Environments with Oracle Database Cloud Platform

Paul Wang, CTO of Solution-Soft shared his company's experience with Oracle Database Cloud Service at the November 1st, Customer Success Forum , now available for replay. Customer Success Forums allow Oracle customers to share their success with Oracle Database Cloud Services with other customers considering Oracle Cloud solutions. The forum is a LIVE event. Customers that register and attend can ask the speaker direct questions. About Solution-Soft Solution-Soft is a leader in date and time testing software solutions. Solution-Soft deployed Oracle Database Cloud Service as a fully managed, platform-as-a-service (PaaS) for their date and time testing software solutions, shortening the time needed to build a database environment to just minutes or hours. As a result, Solution-Soft can now complete development and testing in record time, enhancing their customer's experience and enabling their IT team to focus on more value-add activities. Watch Paul Wang talk about Oracle Database Cloud Service and business agility. “With Oracle Database Cloud Service we have the agility to stand up Oracle Database instances in a virtual machine—or a complete development environment—with just a few clicks, helping to increase our competitiveness and improve customer satisfaction.” – Paul Wang, CTO, Solution-Soft Oracle Customer Success Forums Join our next LIVE Customer Success Forum with Paul Van Hout, CEO of Pragamatyx, on December 6th at 9:00AM PT. Pragmatyx is a technology consultant and systems integrator located in Washington State. As a small business owner, Paul Van Hout will describe why Pragmatyx chose to extend their datacenter in the Oracle Cloud, and how they accelerated time to market (from weeks to days) to deploy new solutions faster without adding more IT resources on-premises and lowering their IT costs by 50%. Register Now!   Follow us on: Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Paul Wang, CTO of Solution-Soft shared his company's experience with Oracle Database Cloud Service at the November 1st, Customer Success Forum , now available for replay. Customer Success Forumsallow...

Big Data

Supporting Your Own Journey to the Cloud

Today I have a guest blogger, Senior Principal Product Marketing Director For MySQL Bertrand Matthelie.  In the blog below he will highlight the core value proposition of "choice", and how Oracle provides customers with database cloud service options to align with their key use cases. With more than 420,000 customers, Oracle clearly understands that there are many different paths to the cloud, and that your own journey may very well be unique. Whether you’re a developer, Dev/Ops team member, DBA, line of business executive or in another role, your requirements and goals will be different. And they will also vary whether you’re employed by a large corporation with a significant existing IT infrastructure or work in a startup for example. Specific industries will also have specific requirements. This is why Oracle built a complete, open and secure cloud platform providing choice and access to innovation for all. In other words, a cloud without compromise. Illustrating this core value proposition, Oracle MySQL Cloud Service was launched at Oracle OpenWorld. Oracle MySQL Cloud Service delivers an enterprise-grade MySQL database service enabling organizations to rapidly, securely and cost-effectively develop and deploy modern applications powered by the World’s Most Popular Open Source Database.                               The only public cloud service integrating MySQL Enterprise Edition, it empowers developers and ISVs with the most comprehensive MySQL offering in the cloud, including advanced features, management tools and technical support to accelerate the time to market of new applications. The simple, automated, integrated and enterprise-ready cloud service delivers the following capabilities: Multi-layered Security: Enterprise-grade security features such as network access control, MySQL Enterprise Firewall, MySQL Enterprise Authentication, MySQL Enterprise Encryption, MySQL Enterprise Transparent Data Encryption and MySQL Enterprise Audit help customers ensure data is protected against external attacks & misuse of information and achieve regulatory compliance. Automated & Effective Management: Best-in-class Oracle management tools including web-based cloud tooling, MySQL Enterprise Backup, MySQL Enterprise Monitor, MySQL Query Analyzer, MySQL Workbench and integration with Oracle Enterprise Manager reduce administrative efforts and costs. Developer Enablement & Integrations: Pre-integration with Oracle Cloud Platform Application Development offerings such as Oracle Java Cloud Service and Oracle Application Container Cloud Service enables developers to quickly spin up a development environment. Pre-integration with Oracle Cloud Infrastructure gives them the choice to for example backup data to Oracle Storage Cloud. Global Scalability: Developers & ISVs can instantly scale their applications globally relying on Oracle Cloud. Automated scaling enables users to elastically scale compute and storage resources as well as MySQL replicas. The MySQL Thread Pool provides sustained performance and scalability facing ever increasing user, query and data loads. Hybrid Deployments: Relying on the exact same database platform and tools on premises and in the cloud allows customers to quickly and easily migrate existing applications to the cloud, move workloads between on-premises deployments and the cloud and architect hybrid deployments. Expert Technical Support: Technical support is provided directly by the MySQL experts, backed by the engineers that develop MySQL solutions, to solve customer’s most complex issues and help them make the most of their MySQL deployments. Additionally, Oracle Premier Support gives customers a one-stop support solution for both cloud infrastructure and MySQL related issues.   Check out the Oracle MySQL Cloud Service video for a short overview: Oracle has been driving MySQL Innovation for nearly 7 years, delivering the best MySQL releases ever. The release of Oracle MySQL Cloud Service is another important milestone to help you achieve your own journey to the cloud. Some customers we talked to will for example migrate their existing MySQL-based applications to the Oracle Cloud to help ensure their performance, security and uptime while reducing TCO. Others will focus on new applications and Dev/Test workloads in the first place. For some of you, Oracle MySQL Cloud Service will represent your entry to the Oracle Cloud, and for others it will be an expansion. Whatever your path, Oracle will support you. Various resources to learn more are at your disposal, and we also recently ran a couple of webinars available on-demand. Oracle MySQL Cloud Service can help you innovate and drive your digital transformation initiatives. Try it out for your next project! Did you try it already? We’d love to hear your comments. Resources: Oracle OpenWorld Launch Topic Page Oracle MySQL Database Cloud Service MySQL Database Cloud Service Free Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Today I have a guest blogger, Senior Principal Product Marketing Director For MySQL Bertrand Matthelie.  In the blog below he will highlight the core value proposition of "choice", and how Oracle...

Migrating Oracle Technology Workloads To The Cloud – An Integrated Solution Approach

Today, I'm happy to have guest blogger, Senior Principal Product Marketing Director Gregg Strydom, who is going to walk you through some of the common use cases in migrating Oracle workloads to the cloud. State Of The Union Over the last year, as I have engaged with numerous customers and sales teams, it has become evident to me that the cloud business model is finally becoming pervasive.  For customers that have not yet migrated all or portions of their datacenter to the cloud, they now realize that they have to carve out a cloud strategy in order to keep pace with the competition.  Many of our customers are looking for guidance or best practices on how to best migrate their Oracle workloads to the cloud.  They see the need to capitalize on the economic gains of the cloud, but they now understand that the incremental operational efficiencies gained also empower resources to be reassigned onto revenue generating projects.   The goal of this blog is to help highlight key paths to the Oracle cloud, and what are some of the parameters of customers that have blazed the trail before you. Current Strain on Data Centers For customers that have invested in Oracle’s technology platform similar factors exist to migrate their Oracle workloads to the cloud. Many have seen their Oracle infrastructure develop over the years and grow to a size where it’s become increasingly challenging to manage.  As a result, infrastructure refreshes have stretched further apart, and have become more marginalized, putting further strain on IT’s ability to meet internal SLA’s. In talking with many Oracle customers, below are top 5 reasons why they are migrating their workloads to public cloud IaaS Figure 1: Top Five Reasons Why Customers Are Migrating Their Workloads to IaaS Oracle Cloud Solution Paths Fortunately, Oracle has both a solution path and a platform for those customers using Oracle technology workloads - the Oracle Cloud Platform. With 38 years of experience, Oracle has been able to take its industry leading on-premise solutions and provide a seamless, fully integrated, path to the Oracle Cloud that supports ALL workloads – both Oracle and non-Oracle. Figure-2: Oracle Cloud Platform Oracle has developed two simple paths to migrate their workloads to Oracle Cloud Figure-3: Lift & Shift – Migrate Oracle Technology Workloads to Oracle IaaS   In this scenario customers simply take their existing on-premises environment as it is and “lift & shift” it to the Oracle IaaS cloud platform.  This includes: •             Applications - Java, Node.js, Ruby, Python Restful API •             Oracle middleware -  WebLogic, Forms, WebCenter •             Oracle Databases - Oracle Database and Oracle MySQL •             Infrastructure This is a quick, seamless and low cost entry point for customers looking to leverage a pay-as-you-go subscription based model. What’s more, customers can bring their existing Oracle licenses into the cloud at no additional cost. Customers can also decide to use this as an opportunity to upgrade to the latest Oracle Database 12c Release 2 and benefit from all the latest features and enhancements. Figure-4: Platform Modernization – Migrate And Deploy on Oracle Cloud Customers can also choose to adopt a truly modern platform by migrating their Oracle workloads onto the latest Oracle Cloud Platform. The Oracle Cloud Platform offers the broadest portfolio of platform services in the industry. These services are designed to maximize operational efficiency and business value and to: Rapidly develop, test and deploy applications Enable architects to quickly integrate across on-premises and cloud applications Enable business users to extract rich business insights Facilitate enterprise collaboration. For example, Oracle Java Cloud Service is the recommended PaaS for WebLogic; Oracle Database Cloud Service is the recommended platform for Oracle data management workloads, and the recently announced Oracle Exadata Express Cloud Service is the ideal offering for small to medium sized databases at an entry-level price. Figure-5: Oracle Cloud Platform Service Offerings The below outlines some of the key Business and IT benefits of migrating your Oracle workloads to the cloud: 3 Source: Accenture Performance Testing Results: Oracle’s Enterprise-grade Cloud is Here See how our customer Flexagon was able to increase revenue opportunities, increase productivity and scale to support rapid growth by migrating their on-premises workloads to Oracle IaaS and Paas.   With its fully integrated Infrastructure and Platform services the Oracle Cloud Platform provides customers the ability to transform their business and gain a stronger competitive advantage, by providing a cost-efficient, quick and seamless transition path to migrating Oracle and non-Oracle workloads to Oracle Cloud. Customers will also benefit from unbeatable performance, maximum security, superior automation and management, all designed to help drive business innovation and accelerate time to market. For more information on how to take advantage of these solutions, please contact your local Oracle Sales Representative, or visit us at: https://cloud.oracle.com/en_US/iaas https://cloud.oracle.com/en_US/paas https://cloud.oracle.com/en_US/java Resources: Oracle OpenWorld Launch Topic Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Media Network - The Rise Of Data Capital Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

Today, I'm happy to have guest blogger, Senior Principal Product Marketing Director Gregg Strydom, who is going to walk you through some of the common use cases in migrating Oracle workloads to...

Big Data

Best Wishes to Tom Kyte on His Retirement.

Tom Kyte has worked for Oracle Corporation for more than twenty years.  For nearly 15 of those 20 years, he has been answering your questions on AskTom and sharing his broad, deep knowledge of Oracle Database with the Oracle community. Tom has now begun a much earned retirement. Do you have a favorite story of how Tom Kyte helped you achieve success with Oracle Database?  Would you like to simply thank Tom for his years of sharing expertise with our community?  Now's your chance! The AskTom team is collating all your tributes and will present them to Tom.  A selection of the tributes will also be published on Ask Tom, so if you would prefer that your message remain private, please indicate on the form - but be assured - Tom will still see it. Share YOUR Tom Kyte story! My share. As a young precompiler/OCI (yes, pre-PL/SQL days) and kernel support rep, I kept getting calls from this east coast guy named Tom.  Who was this guy and why did he ask so many questions?!  After the years went on and I met him at one of the internal development-sales-support meetings - I noticed he ALWAYS asked about the new database feature, why it was implemented in that way and how the developers thought it would be used.  In reflection, he was always trying to figure out how our customers were going to best use the feature for their benefit.  As you might know, Oracle has grown quite large over the years.  For me, Tom was one of the internal go-to guys I could always count on to answer a quick email, offer quiet encouragement or share a good joke. I wish Tom only the best.  He's been a valued colleague and will be greatly missed. There are some SQL titans in place that I know will fill his shoes.   AskTom, led by Chris Saxon and Connor MacDonald, is in great hands.  In the short time I've known them - they have the same sense of feature curiosity and customer caring.  I encourage you to get to know them!  Follow @chrisrsaxon and @connor_mc_d on twitter!  Check out their blogs.  These guys rack up the miles and attend A LOT of events - try to meet them in person at a local developer event near you! As with Scott/Tiger and Dr. DBA; AskTom is woven into the Oracle Database DNA as a gentle reminder of our colleagues.  Please, please don't ever change the name!    

Tom Kyte has worked for Oracle Corporation for more than twenty years.  For nearly 15 of those 20 years, he has been answering your questions on AskTom and sharing his broad, deep knowledge of Oracle...

Customer Stories

Macy's Celebrates 'Go Live' of new retail application in Oracle Database Cloud

Yesterday, Macy's Systems and Technology team based in Atlanta celebrated the 'GoLive' of Macy's intelligent merchandising application developed and deployed on Oracle Database Exadata Cloud on Oracle Cloud. As part of Macy's plan to rejuvenate their stores and cater to the new tastes and shopping styles of their customers, they wanted to implement a cloud solution to meet their changing business needs prior to their peak holiday season. This meant really understanding their customers needs as far as size, color, and style to ensure their stories are stocked with merchandise that delights customers on their first visit. Because of their past experience with the Oracle Database and with Oracle Engineered Systems on-premises they wanted to make sure they could deliver the same customer experience in the cloud. Their retail  application requires not only good performance but predictable performance which allows them to manage their business more effectively. When they looked at other cloud vendors, performance was not very predictable which is too disruptive to their business. Only Oracle could meet their performance requirements for predictability. Timing was also critical as they wanted to roll out their retail cloud application quickly while being careful about the installation, configuration, and security which ultimately led them to choose the Oracle Cloud. While they did look at other vendors cloud offerings, only Oracle was uniquely qualified to run their application on Oracle Database Exadata Cloud Service. More importantly, only Oracle could deliver a combination of database and infrastructure cloud services that provided Macy's with an integrated experience, not disparate parts that have to be stitched together into a solution. From the start to the finish Macy's implementation was completed in only 90 days. Macy's can now deliver a rich customer experience whether its customers are shopping in the store or online. Congratulations Macy's! This blog explores how customers use Oracle Database Cloud solutions to innovate and change the way business works. Please share your feedback about this story or comment about your experience with Oracle Database Cloud Services. Follow us on: Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/  

Yesterday, Macy's Systems and Technology team based in Atlanta celebrated the 'GoLive' of Macy's intelligent merchandising application developed and deployed on Oracle Database Exadata Cloud on...

Big Data

Using the Oracle Database for an Analytic Warehouse

This week, I would like to introduce two guest bloggers, Dan and Tim Vlamis.  Dan and Tim are members of Oracle's Ace Program, and valued partners through their consulting firm Vlamis Software Solutions.  They contribute to the program through thought leadership, curriculum creation and overall Oracle advocacy, but most importantly, as partners they assist customers with deploying Oracle solutions for optimal business returns. Introduction: Data Warehouses have evolved since their heydays in the 1980s. Many people have given up on the dream of capturing and codifying into one place all the internal data for an organization and consider the task to be too difficult. In the quest to capture everything, they have focused almost exclusively on how to get data into a data warehouse through ETL processes. Instead, we believe the value lies not in storing data, but rather in organizing it, using it to calculate new measures, and facilitating its presentation to users. By focusing on results and uses, you can achieve what organizations truly care about: fast, deep, meaningful analyses. Comparison between Data Warehouse and Analytic Warehouse: A traditional data warehouse focuses on storing as much business data as possible. We propose identifying the data deemed most useful for affecting business decisions and focusing on analyzing data. We call a purpose-built warehouse of data for analysis an analytic warehouse. Most processing in a traditional data warehouse is done externally in ETL (Extract Load Transform). Most processing in an analytic warehouse is done internally by processes that: Define relationships and structures to organize data elements Create new measures, fields, and structures through analytical processing Additional differences between traditional data warehouses and analytic warehouse sometimes include the following: In traditional data warehouses, one of the most important metadata facts about a particular data element is its source or provenance. The data element’s importance was directly related to how recently it was stored and sometimes, to how much it was replicated. In analytic warehouses, the most important information about a particular data element is its use, either in a subsequent analytic process or a call as a raw data element. The more times an element is used in a calculation or is called for presentation to a user, the more important it is. In the case when traditional data warehouses are significantly larger than their sources, it’s almost always because they are replicating data and storing it multiple times. Analytic warehouses can also be larger than their sources, but when they are, it’s almost always because they are creating new data elements and structures through descriptive, diagnostic, predictive, and prescriptive analytic workflows and machine learning techniques. Traditional data warehouses were defined by the inclusion of data. Analytic warehouses often make calls on external data stores for analytic workflows. There is often no need to store the data in the warehouse; just use it to produce new data elements and structures. This emphasis on data federation and analytic processing is a key difference between traditional data warehouses and analytic warehouses. In short, traditional data warehouses are about getting all available data in for storage; analytic warehouses are about getting valuable data out for presentation. Description of Analytic Warehouse: Analytic warehouses are characterized by the following: Organization around logical structures designed for analysis A distinction between the processing/query engine (which can reach out to many sources) and the storage layer (which contains the most valuable and frequently accessed data) Lots of derived measures, comparative values, and the generation of new data elements and structures Emphasis on relationships, hierarchies, and structures (both discovered and assigned) within and between data elements Emphasis on the fast processing and delivery of queries Ability to federate data and execute queries and analytic processes in external data storage systems Ability to perform complex statistical, graphical, and high mathematical processes in parallel Analytic warehouses often contain dimensional structures that organize data into hierarchical taxonomies and include aggregations at different levels. Facilitating the fast presentation of data at different levels of aggregation is a primary purpose of analytic warehouses. While counting and aggregation are important internal processes, newer machine learning, statistical analytics, and data mining functions are now critical to delivering value to business users. By focusing on a subset of an organization’s data, analytic warehouses can be surprisingly easier to build than full data warehouses. Compared with a full data warehouse, 80% of the value may be obtained with only 20% of the data. If data elements are not often used for analysis purposes, it’s better to leave them in their sources systems and use them through an external process on the rare occasion they are needed. Use of Analytic Warehouse: Whereas a traditional data warehouse supports historic reporting, an analytic warehouse focuses on predictive and prescriptive analytics. Analytic warehouses may be used for historic reporting also, but they are designed to predict the future. Often the emphasis is on additional calculated measures, forecasts, or predictions. Depending on the technology used, this may imply that measures in an analytic warehouse may not have the same precision as data in a data warehouse.  For example, a data warehouse may report that a customer has bought $23,753.03 worth of gadgets in the past year, but in an analytic warehouse, we may compute next year’s gadget sales are between $24,000 and $28,000 with a 95% probability associated with that assertion.  Since this is not truly known, we may end up calculating this value on the fly instead of storing the actual value.  Even though the value is an estimate, the fact that the value is directionally higher than last year may be very valuable.  An important use for analytic warehouse is for comparison purposes.  Historic reporting often emphasizes precision and absolute values in isolation.  Analytic warehouses emphasize comparisons within a context.  Sometimes the context is historical (e.g. sales are trending up) and sometimes the context is in the future (e.g. sales for California are likely to exceed Texas in two years). Oracle Database and Options for the Analytic Warehouse An Oracle database is an excellent foundation for an analytic warehouse. In addition to the traditional relational data store, modern Oracle databases have the ability to store spatial data, dimensions, cubes and can calculate analytics directly in the database, eliminating the need for moving data between servers. Specifically, the Advanced Analytics option of the Oracle Enterprise Edition database has a host of embedded analytic algorithms such as clustering, regression, attribute importance, and more. Moreover, Oracle R Enterprise brings the power of the language ‘R’ to the Oracle Database. With the Database In Memory option, tables can be placed in memory and special memory-optimized algorithms can aggregate data as it is being read for extremely fast aggregation on the fly. Analytic Views (new in release 12.2) enable OLAP-style calculations on fact tables, without having to store data in a multi-dimensional format. Oracle Database is capable of processing data in XML, JSON, and through Big Data SQL can interact with external data stores such as Hadoop, NoSQL, and integrate Apache Spark processes. This also allows Oracle Database’s advanced security features (e.g. VPD, redaction) to be used with these data sources. All of these capabilities make the Oracle Database the optimal vehicle for realizing the analytic warehouse. Analytic Warehouses in the Oracle Cloud The movement towards storing and processing data in the cloud makes analytic warehouses even more compelling.  The High Performance Package of the Oracle Database Cloud Service contains all of the options necessary for an analytic warehouse.  The Extreme Performance Package adds the Database In Memory option for additional performance.  An Oracle Database in the cloud can reach out to other cloud data sources, as well as external databases, without having to replicate data.  In addition, cloud databases enable solutions that can scale to any size without having to pre-determine storage and compute requirements for an analytic warehouse.   For more information, visit our website at www.vlamis.com or follow our twitter @VlamisSoftware. Try Business Intelligence and Advanced Analytics on the Oracle Cloud for free with Vlamis Test Drive at www.vlamis.com/td. About the authors: Dan Vlamis is an Oracle ACE Director and founded Vlamis Software Solutions, one of the leading consulting firms in Oracle Business Analytics and data warehousing, in 1992. Dan graduated from Brown University with a degree in Computer Science and has worked with many of America’s leading corporations, government agencies, and NGOs. Tim Vlamis is an Oracle ACE and leads the data visualization and predictive analytics practice for Vlamis Software Solutions. Tim is a named contributor to, and expert instructor for Oracle University’s courses on Oracle Advanced Analytics (Oracle Data Mining and Oracle R  Enterprise.) Tim holds an MBA from Northwestern University’s Kellogg School of Management and a degree in economics from Yale University. Both Tim and Dan live outside of Kansas City, MO and know where the best barbeque is!

This week, I would like to introduce two guest bloggers, Dan and Tim Vlamis.  Dan and Tim are members of Oracle's Ace Program, and valued partners through their consulting firm Vlamis...

Database

Oracle University Offers New Courses Covering Oracle Database 12c Release2

          September was an exciting month for Oracle, as Oracle OpenWorld was in full swing, and new and exciting cloud services were announced to the market.  Oracle announced Oracle Database 12c Release 2 to the cloud. In addition, we also unveiled the  new cloud database offering, Oracle Database Exadata Express Cloud Service. Figure-1: Oracle Database 12c Release 2 Designed For The Cloud           Oracle Database 12c R2 offers several new features, as well as feature enhancements for enhanced cloud data management. Accompanying the cloud services enhancements, there are new Oracle courses offered. The Oracle Database 12c R2: New Features for 12c R1 Administrators is a comprehensive new course that will guide you through each of the new features and provides ample opportunities to discuss and explore how these features may affect your working operations. This course is the first 12c Release 2 course available in a series of learning paths being developed to get you up to speed on Oracle Database Cloud Services.  This course is ideal for current Oracle Database 12c administrators however students are also encouraged to take this class. This course bridges the following enhancements between Oracle Database Release 1 and Release 2 and covers the following key areas: Cloud lesson explains the various Oracle Database Cloud single-instance service components and their interactions. Security lessons cover enhancements in auditing like role based conditional auditing, in privilege administration like new system administrative privilege for RAC, in Privilege Analysis and Data Redaction, in Transparent Sensitive Data Protection with new types of policies for FGA and TDE, and finally also in Transparent Data Encryption (TDE). Availability lessons cover enhanced features in RMAN like table recovery, transport data across platforms, enhancements related to online operations, and finally ongoing enhancements with Oracle Data Pump, SQL*Loader and external tables. Performance lessons explain the new features to increase the performance of the databases with SQL Performance Analyzer, DB Replay and SQL Plan Management, and to increase query execution with the Optimizer Statistics Advisor, SQL JOIN processing. You will also learn about In-Memory Column Store enhancements like In-Memory FastStart, In-Memory Expressions and Virtual Columns, and objects eviction with ADO policies. Partitioning lesson covers enhancements in partitioning methods. Manageability lesson covers enhancements in Database Operations. Diagnosability lessons cover enhancements in ADR space management and explain what can be completed with the new Trace File Analyzer (TFA) tool. Figure-2: Oracle Database 12c Release 2 Key Enhancements   For Oracle Database administrators trained on prior versions, you are encouraged to take: Oracle Database 12c R1: New Features for Administrators will bring you up to speed on Oracle Database 12c R1 features Oracle Database 12c R2: New Features for 12c R1 Administrators will bring you up to speed on Oracle Database 12c R2 features There are a host of New Features in Oracle Database 12c R2 and the Oracle Database 12c R2: New Features for 12c R1 Administrators course will allow current Oracle Database 12c administrators an opportunity to review these features and learn how to apply them with training from the pros, as you explore Oracle Database Cloud Services. Following new features and their benefits are covered:   Application Container, a new type of container in multitenant container databases (CDBs) allows you to simplify administrative tasks and improve manageability.   New methods for creating new pluggable databases ( PDBs):  Hot cloning, Near-zero downtime PDB relocation and Proxy PDB will enable rapid provisioning of PDBs.   Performance and monitoring new features provide more control over your PDBs and resource management. Some of these new features are PDB-level snapshots, SGA and PGA memory management at the PDB level.   A new option for unified audit policies allows users to be audited based on granted roles, resulting in increased auditing granularity. Come learn how you can take advantage of the industry leading data management platform.  Get started by visiting education.oracle.com/database12c to find the right learning path for you!!! Resources: Oracle OpenWorld Launch Topic Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Gartner Critical Capabilities For Operational Database Management Systems Report Oracle Beats Amazon Web Services in Head-to-Head Cloud Database Comparison Oracle Database Cloud Service 30-Day Free Trial Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/

          September was an exciting month for Oracle, as Oracle OpenWorld was in full swing, and new and exciting cloud services were announced to the market.  Oracle announced Oracle Database 12c Rele...

Big Data

Oracle Database 12c Release 2 on Oracle Cloud Now Available

Transforming Data Management While Preserving Customer Investment Oracle Database 12c Release 2 (12.2), the latest generation of the world’s most popular database, is now available in the Oracle Cloud. It provides businesses of all sizes with access to the world’s fastest, most scalable and reliable database technology in a cost-effective and flexible Cloud environment. 12.2 can seamlessly scale from entry-level to the largest database workloads, enabling customers to take advantage of proven enterprise class capabilities to run database development, small to midsized business applications, and departmental and large mission-critical applications in the Cloud. 12.2 introduces new and enhanced functionality, particularly in these three areas: From Disk-Based to In-Memory Databases for high performance real-time analytics From Data Warehouse to Big Data for insightful analysis of transactional and other data sources From On-Premises to Database Optimized Cloud for greater agility, elasticity and lower IT costs Designed for the Cloud, Oracle Database 12c Release 2 on Oracle Cloud offers customers the opportunity to take full advantage of In-Memory for real-time analytics, Big Data sources for greater insight and Multitenant to lower costs and increase agility, without having to make changes to existing applications. Customers can take all their in-house developed Oracle applications, all their Oracle ISV applications, and just run them on Oracle Cloud without incurring any application changes. This is particularly important, as customers can utilize all their existing applications, developer skills, and administrator skills, and get the same support for their Oracle Databases both on-premises and on Oracle Cloud. Learn More Oracle Openworld 2016 Keynote 'Transforming Data Management with Oracle Database 12c Release 2' White Paper: Transforming Data Management 12.2 on Oracle Cloud New Features Guide Oracle Database 12c Release 2 on OTN Oracle Cloud Database Services   Join the conversation: #DB12c #FutureofDB

Transforming Data Management While Preserving Customer Investment Oracle Database 12c Release 2 (12.2), the latest generation of the world’s most popular database, is now available in the Oracle Cloud....

Database

Best Practices For Migrating Oracle Database To Oracle's Database Cloud Service

Today, I'm pleased to have a guest blogger, Senior Principal Product Manager,  Brian Spendolini.  Brian's blog below is going to provide you with some technical best practices for migrating your Oracle Database to Oracle's Database Cloud Service. When Oracle set out to create our PaaS cloud, more specifically the Database Cloud Service, a particular element was at the forefront.  The software in the cloud had to be the same software that our customers are using on premises. There had to be no difference whatsoever. The same tools, skills and software you use to manage, monitor and tune your on-premises databases had to seamlessly and transparently move between platforms. A DBA should be able to monitor a cloud database just as they would with an on premises database with no exceptions. Oracle’s database cloud enables you to create an enterprise class, highly available database in less than an hour, and manage this database just as you would on premises. With this same software in the cloud as on premises paradigm, Oracle’s Database cloud allows migration and data loading with the ease you are familiar with. To start, all Oracle Database Enterprise Cloud Service instances give you access to the operating system as well as SQL*Net access. This enables users and systems with the correct access to stage and load data into the database using multiple methods. SQL*Loader is the most basic, allowing data loading from a local file or via SQL*Net. The original database export and import utility can be used today to move on-premises databases into the cloud Superseding import/export in Oracle 10gR1 was data pump. Oracle Data Pump enables very high-speed movement of data and metadata from one database to another, much faster than the original import/export tools. As for data pump, features such as exporting and importing over a network and the ability to restart jobs help to make this a perfect fit for moving data to the Oracle Cloud. Other features such as the ability to estimate how much space an export job would consume without actually performing the export will help on cost estimates for purchasing cloud storage. If the source database is an 8i or greater database, then transportable tablespaces give you a very fast method for moving your database to the cloud, all you need to do is move the metadata and the datafile. Also Starting with Oracle9i, the transported tablespaces are not required to be of the same block size as the destination database, helping with the migration process. Another important aspect of transportable tablespaces is that you can migrate across OS platforms. To check on what platforms you can migrate to, in your database check the V$TRANSPORTABLE_PLATFORM table. The V$TRANSPORTABLE_PLATFORM view lets you see the platforms that are supported and to determine each platform's endian format. What is endianness? It’s the way computers store multibyte data-types. Think of it this way; If the platform is Big endian, it will store the number 2134 as 2134. On a little endian platform, it will store it as 4312. This is simplifying it a bit, but you can see the basic issue we have. If the source and cloud database endianness match, then you can move the tablespaces to the cloud platform with no conversion necessary. If the endianness does not match, then an additional step is required. You can perform this step on the source or cloud database to convert the tablespace being transported to the target endian format. Doc ID 371556.1 on support.oracle.com will guide you through this process. Also remember, when using transportable tablespaces, the source and the target databases must use compatible database character sets and source and the target databases must use compatible national character sets. With the latest cloud release, we can now create databases from a customers’ on premises backup with a single click. The Oracle Database cloud now includes a feature to create or replace an existing database with a backup from our database backup service. Just tell the UI where the backup lives and the cloud takes care of the rest. The database will be created, then replaced with that backup from the cloud. This jumpstarts many use cases such as disaster recovery in the cloud using Data Guard as well as a test/development environment from a backup of production which is on premises. The last method of migrating to the cloud we will discuss in this article is moving PDBs. With 12c, Oracle introduced the concept of a multitenant architecture allowing database to function as a multitenant container database (CDB). Within this CDB, we can have one, zero, or multiple pluggable databases (PDBs). The multitenant feature represents one of the biggest architectural changes in the Oracle Database. This grouping of multiple PDBs into a single CDB allows us to manage, patch, upgrade and backup all of our databases as a single unit allowing us to consolidate multiple databases into one. So how does the Oracle Cloud utilize the multitenant feature? To start, built right into Oracle SQL Developer is the ability to move local PDBs straight into the Oracle Cloud. As long as that PDB is on the same instance as SQL Developer, we can unplug, copy and plug that PDB into a cloud 12c database with a single click of a button. This is a great way to move development and test instances into the cloud quickly and easily. With Enterprise Manager 12cR5 and 13c, we can do even more with PDBs and the Oracle Cloud. Enterprise Manager (EM) has the facilities to remotely move any 12c PDB in your monitored fleet to the Oracle Cloud. Not only can we move these PDBs to the cloud, but we can also move from the cloud back to an on premises 12c database. Using the data masking and subsetting pack, EM will mask or scramble sensitive data as it is moved from an on premises PDB to the oracle cloud. Want an even quicker way to migrate PDBs? Use the PDB remote cloning feature to clone a PDB instantly over a database link. Back to the original thought, seeing the software in the Oracle Database Cloud is the same as on premises, all the tools and features that existed in previous versions as well as current versions of the database will continue to work, no need to purchase anything extra or retrain on a cloud specific variant. And this this familiarity, we can leverage your existing skills and knowledge to make this migration to the Oracle Database Cloud even easier.  For more information please take a look at the resources provided below. Brian Spendolini Senior Principal Product Manager   Resources: Oracle Database 12c Release 2 For The Cloud Topic Page - https://www.oracle.com/database/oracle-database-cloud/index.html  Quick Q&A On Why You Should Move To Oracle Database Cloud - www.oracle.com/us/products/database/answer-to-database-cloud-questions-3304671.pdf. Infographic: Oracle Database In-Memory (DBIM) https://www.oracle.com/webfolder/s/delivery_production/docs/FY16h1/doc5/baORCL1503-Infographic-v14.pdf Oracle SQL Developer - http://www.oracle.com/technetwork/developer-tools/sql-developer/overview/index.html  Oracle Database Cloud 30 Days Trial - http://www.oracle.com/webfolder/technetwork/tutorials/infographics/dbcs_trial_quickview/index.html Oracle Newsletters - http://www.oracle.com/us/syndication/subscribe/index.html Follow Us On Social Media: Blog: https://blogs.oracle.com/databaseinsider/ Twitter: https://twitter.com/oracledatabase   Facebook: https://www.facebook.com/OracleDatabase   LinkedIn: https://blogs.oracle.com/databaseinsider/ 

Today, I'm pleased to have a guest blogger, Senior Principal Product Manager,  Brian Spendolini.  Brian's blog below is going to provide you with some technical best practices for migrating your...

Big Data

Macy's Chose Oracle Exadata Cloud for Integrated Experience

The best part of my work is when I get to interact directly with Oracle customers. During Oracle Open World 2016 I was lucky to be involved in an Oracle customer event that recognized Oracle Cloud Platform Innovation. Macy's was one of three customers to receive an Oracle Data Management Cloud Innovation award.  Not only was this a great honor for Macy's and Oracle, the excitement on stage was contagious, and it was truly heart warming to hear Anantha Srirama, Macy's VP of Systems & Technology accept the award on behalf of his entire team. Before the end of a very busy week, Macy's participated in a video interview which I'm pleased to share with you now. I spoke with many customers (large and small) during Oracle Open World 2016. One common denominator is the fact that other cloud vendors deliver cloud services that require customers to integrate into useful solutions, whereas Oracle delivers integrated cloud solutions and support services bundled together. In Macy's case they chose Oracle Exadata Cloud Service because they run Oracle Exadata on-premises. You can learn more about the Future of Data Management in the cloud to see for yourself why Oracle Database Cloud services and PaaS offerings make it easy to move, secure, and optimize workloads, development, and data in the cloud. Try Oracle Database Cloud Service Free for 30 days! This is blog series explores how customers use Oracle Database Cloud solutions to innovate and change the way business works. Please share your feedback about this story or comment about your experience with Oracle Database Cloud Services. Follow us on: Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/      

The best part of my work is when I get to interact directly with Oracle customers. During Oracle Open World 2016 I was lucky to be involved in an Oracle customer event that recognized Oracle Cloud...

Database

Gartner Scores Oracle Highest In 3 of 4 Use Cases: Gartner Critical Capabilities for Operational Database Management Systems Report

Gartner has recently published their latest report, Critical Capabilities for Operational Database Management Systems, focusing on Database Management Systems (DBMS), and the critical criteria necessary for end users to evaluate vendor capabilities.  In this objective, analyst report, Gartner evaluates existing and new products for operational DBMS use cases.  As new products come online and older solutions begin to mature, data and analytics leaders are challenged with which solution to select that best empowers their organizations. This research and companion Magic Quadrant report combine vendor capabilities and client implementation experience to identify products that meet requirements.  Oracle’s nearly four decades of data management experience, coupled with the company’s push into the cloud, has enabled Oracle to develop solutions that ranked first or second in every use case, and are ideal for both on-premise or cloud deployments. Figure-1: Key Transactional Criteria:          The market has changed quite a bit over the years, as the new data explosion has created a surge of non-relational data. Many new products have emerged as point product solutions that address single use cases.  While these products may be strong in their respective element, end users are challenged with mapping their various use cases, and must consider product costs as well as deployment options and skill sets required. As emphasis to this, Gartner highlights – Through 2018, 50% of operational DBMS vendors with less than $50 million in annual revenue will disappear due to acquisitions, mergers or business failures. By 2017, all leading operational DBMSs will offer multiple data models, relational and non-relational, in a single DBMS platform Fortunately, Oracle’s Database is a general-purpose, relational database management system that has evolved over the years to support new data types and structures (beyond pure relational). It has proven capabilities for high-speed transactions, security and database administration. Oracle's cloud support, investment and focus are paying dividends in the form of increasingly robust cloud capabilities. Products that will stand the test of time, and rise to the forefront are solutions that can address hybrid transactional and analytic models, thereby allowing customers to extract value from all their data. Figure-2: The Rise Of Data Capital                                            Gartner’s industry segment review aligns well with the close of Oracle OpenWorld 2016, where Oracle launched the latest database features in the cloud first. Oracle’s latest release provides customers with– Full hybrid cloud support through 100% compatibility between on-premise and cloud deployments The ability to leverage existing SQL skills across all Oracle data management products Greater scalability for up to 4096 pluggable databases to help you deal with data growth. The ability to run analytics on stand-by databases Increased multi-layered security whether data is on-premise, in the cloud, or in transit In addition, as stated in the Gartner publication, one of Oracle’s primary differentiators is the ability to innovate across both hardware and software to bring to market highly optimized appliances, Engineered Systems and cloud services.  At Oracle OpenWorld, the audience was introduced to the latest Engineered System based cloud service in the Oracle Database Exadata Express Cloud Service.  With the introduction of Oracle Database Exadata Express Cloud Service, Oracle’s flagship database machine is available as a cloud service that customers can license in small, affordable increments. These customers obtain extreme performance, high availability, and seamless integration with standard Oracle Database deployments—along with the ability to easily transition workloads from on-premises to the cloud and back again. Figure-3: Oracle Database Exadata Express Cloud Service Oracle Database Exadata Express is the ideal solution for large enterprise customers looking for a smaller bite size cloud solution for their development and test personnel to leverage, or for small-to-medium sized customers looking for an entry point into data management cloud services.             As discussed in this blog, Oracle’s proven expertise and push to constantly innovate in accordance with customer demands, has enabled its recognition by industry analyst Gartner as a leader for critical buying criteria for operational database management systems.  This effort to exceed customer requirements was on full display at Oracle OpenWorld with the launch of Oracle 12c Release2 for the cloud and Oracle Database Exadata Express Cloud Service.  For more information on Oracle’s Data Management Cloud Services please see the resources below and visit us at cloud.oracle.com/database. Resources: Oracle OpenWorld Launch Topic Page Oracle Database 12c Release 2 For The Cloud Solution Brief Oracle Database Exadata Express Cloud Service Solution Brief Oracle Media Network - The Rise Of Data Capital   Follow Us On Social Media: Blog: https://blogs.oracle.com/database/ Twitter: https://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://blogs.oracle.com/databaseinsider/   Note: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner has recently published their latest report, Critical Capabilities for Operational Database Management Systems, focusing on Database Management Systems (DBMS), and the critical criteria...

Customer Stories

OTN Appreciation Day - Developers, DBAs, Architects and Product Experts

OTN Appreciation Day asks the community to blog about a favorite feature. I can't name one particular favored feature - but I can definitely say my favorite thing about Oracle Database is our awesome developers, DBAs, architects and product gurus. I am continually amazed at the OTN community's expertise!  This community successfully keeps the old-timers (you know who you are) completely engaged while welcoming the newcomers. The amount of information exchanged is astounding. It's a group that celebrates knowledge, helps those who need an explanation, and honors those who excel at their trade. In following #ThanksOTN on twitter, I've seen the posts from the community on their favorite features.   It's been inspiring to read (and learn about) so many blog sites and ALL the great information.  The OTN community contains so much product expertise and knowledge! If you haven't visited Oracle Technology Network (OTN) lately - I invite you to go check it out and see for yourself.  You can download software, participate in the forum discussions, find Oracle ACEs, read the white papers and articles, find community events near you and meet some pretty nice people.  Most importantly - get involved!  I am sure you'll find this particular community welcoming - it's a group of folks who care about each other!  Thank you all for being such a great community and #ThanksOTN.  

OTN Appreciation Day asks the community to blog about a favorite feature. I can't name one particular favored feature - but I can definitely say my favorite thing about Oracle Database is our awesome...

Database

Oracle OpenWorld 2016 Database Wrapup

Wow!  Another Oracle OpenWorld in the books.  What an amazing time spent with our customers and partners. Our highlights included listening to your stories and sessions, seeing old friends, making new, at the events.  THANK YOU for sharing your Oracle OpenWorld experience with us.  Here's a quick recap of Data Management announcements made at the show. Oracle Database Cloud 12c Release 2 on the cloud Capture the value of the cloud without compromise. Designed for complete integration and optimization with Oracle Cloud Platform, Oracle Database 12c Release 2 helps customers easily set up cloud database environments and migrate data readily between on-premises and cloud deployment. Watch Larry Ellison's keynote session announcement from Oracle OpenWorld Oracle Database 12c Release 2 On Cloud & PaaS Press Release Oracle Database 12c Release 2 On Cloud Information Page Videos - Watch & Learn: Innovation from Oracle Cloud Oracle Database Cloud Service Solution Brief Oracle Database Cloud Service iPaper Oracle Database Cloud Service Infographic Oracle Database Exadata Express Cloud Service Oracle Database Exadata Express Cloud Service delivers a full Oracle Database experience as a managed cloud service running on Exadata and provisioned in minutes - all at an affordable entry-level price. It's ideal for small to medium sized data and packed with features for modern application development. Watch Larry Ellison's keynote session from Oracle OpenWorld on the Future of Database Oracle Database Exadata Express Cloud Service Animated YouTube Video Oracle Database Exadata Express Cloud Service Information Page Oracle Database Exadata Express Cloud Service Data Sheet Oracle Database Exadata Express Cloud Service Solution Brief Oracle Database Exadata Express Cloud Service Infographic Thank you for trusting the Oracle Database team to help you & your business achieve full potential and make that next step to cloud.

Wow!  Another Oracle OpenWorld in the books.  What an amazing time spent with our customers and partners. Our highlights included listening to your stories and sessions, seeing old friends, making...

Big Data

Oracle Open World 2016: Introduction To Data Management Cloud Solutions

Nearly four decades ago, Oracle was an early pathfinder in the data management market. Oracle’s drive to continuously innovate over the years to stay ahead of disruptions and the rapidly changing technology landscape has enabled Oracle to become the leader in the data management market.  With the pervasiveness of the cloud, the reluctance to stray from one’s legacy can be one of the biggest challenges for creativity, innovation and dealing with a disruption in the market.  At Oracle Open World September 18–22, 2016 in San Francisco Oracle will debut several new solutions focused on easing the migration to the cloud, while enabling customers to capture the full value of their data capital.  Come see the latest technology and product updates set to create the next wave of disruption in the market.  If you are able to attend, below you will find some key sessions and topics highlighted for your consideration. Sunday, Sept 18th – Oracle OpenWorld Welcome Keynote [KEY7962] 5:00 p.m. - 7:00 p.m. | Moscone North—Hall D Monday, Sept 19th –                                Oracle OpenWorld Monday Keynote [KEY7963] 8:30 a.m. - 10:15 a.m. | Moscone North—Hall D The World's #1 Database for the Cloud [GEN6367] 11:00 a.m. - 12:00 p.m. | Moscone South—103 The Oracle Cloud Infrastructure Platform [GEN7610] 1:45 p.m. - 3:15 p.m. | Oracle Cloud Plaza @ Howard Street OpenStack Murano: Push-Button Composition of Oracle Applications and Database [CON7457] 4:15 p.m. - 5:00 p.m. | Marriott Marquis—Salon 1/2/3 Oracle Database In-Memory: What’s New and What’s Coming [CON6380] 5:30 p.m. - 6:15 p.m. | Moscone South—104T Tuesday, Sept 20th – Oracle OpenWorld Tuesday Morning Keynote [KEY7964] 8:30 a.m. - 10:15 a.m. | Moscone North—Hall D Oracle Cloud Platform for Big Data [GEN7471] 11:00 a.m. - 12:15 p.m. | Moscone South—103 Data Warehousing, Big Data, and the Cloud in the Next Generation of Oracle Database [CON6106] 11:00 a.m. - 11:45 a.m. | Moscone South—305 Oracle Integration Cloud—Strategy/Vision for Journey to Cloud Transformation [GEN1806] 12:15 p.m. - 1:00 p.m. | Moscone South—102 Who Wins the Oracle Database in the Cloud Bake-Off? [CON5672]  12:15 p.m. - 1:00 p.m. | Moscone South—309 Oracle OpenWorld Tuesday Afternoon Keynote [KEY7965] 1:30 p.m. - 3:15 p.m. | Moscone North—Hall D Introducing Oracle MySQL Cloud Service [CON4851]  4:00 p.m. - 4:45 p.m. | Park Central—Stanford Oracle Database Cloud Service: Strategy and Technology Overview [CON6125] 5:15 p.m. - 6:00 p.m. | Moscone South—302 Wednesday, Sept 21st – Oracle OpenWorld Wednesday Keynote [KEY7966] 9:15 a.m. - 10:15 a.m. | Moscone North—Hall D Oracle’s Cloud Computing Strategy [CON1805] 11:00 a.m. - 11:45 a.m. | Moscone South—309 Meet the Experts: Oracle E-Business Suite on Oracle Cloud (IaaS and PaaS) [MTE7755] 1:30 p.m. - 2:15 p.m. | Moscone West—3001A Oracle Streaming Big Data and Internet of Things Driving Innovation [CON7477] 3:00 p.m. - 3:45 p.m. | Moscone South—302 The Benefits and Simplicity of Oracle Cloud: Infrastructure as a Service [CON1126] 4:15 p.m. - 5:00 p.m. | Moscone South—30 Thursday, Sept 22nd – DevOps Automation for Oracle Database in the Cloud: A Technical Deep Dive  [CON7232] 9:30:00 AM - 10:15:00 AM 360-Degree Customer Predictive Analytics in the Cloud with Clear Visibility [CON5010] 10:45 a.m. - 11:30 a.m. | Park Central—Franciscan I Oracle's Big Data Predictive Analytics and Machine Learning Strategy and Roadmap [CON6500] 12:00 p.m. - 12:45 p.m. | Moscone South—104 Best Practices for Application Development with Oracle Database Cloud Service [CON6540] 1:15 p.m. - 2:00 p.m. | Moscone South—104 DevOps Best Practices for Oracle Public Cloud and Oracle Cloud Machine [CON6388] 2:30 p.m. - 3:15 p.m. | Moscone South—310 Come join us and learn about Oracle’s latest technology updates and new game changing capabilities that are designed to help organizations of any size, enterprise or SMBs, adopt a highly optimized data management system in the cloud easily and affordably.

Nearly four decades ago, Oracle was an early pathfinder in the data management market. Oracle’s drive to continuously innovate over the years to stay ahead of disruptions and the rapidly changing...

Database

Achieving the Ultimate Oracle OpenWorld Experience

With more than 1,500 sessions available, you'll definitely want to focus your time at Oracle OpenWorld. Whether it's your first time to the largest technology conference or you are a veteran, here are some simple tips to help you maximize your time at Oracle OpenWorld 2016! 1.  Make your plan. Use the OpenWorld Session Catalog to locate database activities which align with your areas of interest. Use My Schedule to build your personal agenda and reserve space at Database Hands-on-Labs and key sessions! 2.  Arrive Early! Are you in San Francisco on Saturday?  Try the Open World Tour de San Francisco.  Use #BikeB4OOW to join the conversation on twitter.  It's a great way to see part of the city and meet up with some great Oracle folks! Sunday kicks off with Oracle User Groups Forums.  Led by industry thought leaders, these database sessions will get you in your thinking mood for the show. 3. Hear directly from Oracle. The database team will be in San Francisco in full force!  Be sure to check out our key database sessions, and do not miss Andy Mendelsohn's General Session [GEN6367] Monday at 11am in Moscone South 103. Its sure to be SRO! 4. Get hands on.  Reserve your space for one of our Database Hands-on-Labs, plan to spend time in the demo grounds talking with product experts.  We want to talk with you about your database implementations. 5. Take some ME time. Rest, relax and re-energize at Yerba Buena Gardens, plan to attend the Appreciation Event, shop San Francisco! 6. Network, network, network! Introduce yourself to everyone: presenters, Oracle employees, conference attendees and exhibitors!  Ask questions, provide answers, be part of the experience!  Don't forget to pack your business cards! 7.  Be part of the social conversation Like us on Facebook! Follow @OracleDatabase twitter handle.  Use tags #DB12c and #oow16 to tell us your Oracle OpenWorld experiences.  8.  Hydrate and wear comfortable shoes 'nuf said on this one.  

With more than 1,500 sessions available, you'll definitely want to focus your time at Oracle OpenWorld. Whether it's your first time to the largest technology conference or you are a veteran, here are...

Database

Focus on Database Sessions at Oracle OpenWorld Like A Pro

Focus On Documents (FODs), created by Oracle database experts, are focused “roadmaps” to help you plan your activities for an optimized Oracle OpenWorld conference experience.  Whether you are focused on cloud, security, development or something else database-related, we've got the sessions identified for you to consider attending!  FOCUS ON: Oracle Database 12c  Roadmap to all the basics of Oracle Database at OOW. Upgrade and Migrate to Oracle Database 12c  These sessions provide helpful tips and tricks around database upgrades and migrations! Database In-Memory Keep up on the latest innovations of this database option. Multitenant Learn why Oracle Multitenant is a perfect architecture for developing cloud apps! Advanced Compression  Data Storage and ILM your thing?  Check out these sessions. Security These sessions are designed to help you through regulatory and security issues. Oracle Data Management Cloud Solutions Discover the benefits of enterprise data management in the cloud. Oracle Management Cloud Learn what’s new and get Hands-on with Oracle Management Cloud Spatial and Graph This FOD provides a map of all things Spatial and Graph! Application Development with Node.js, Python, PHP, R, C, and C++ Are you an app developer?  Check out these sessions! Database Development Tools - SQL Developer, REST Data Services, Data Modeler, SQLcl Database Development your thing?  Get the scoop in these sessions! Database Application Development - Oracle Application Express Everything APEX you need to know! Java Development with Oracle Database Java Developers Roadmap to OOW! PL/SQL Everything you need to know about PL/SQL and MORE! Oracle Database on Windows Get to know the ins-n-outs of our Windows version .NET Development for Oracle Database If you are a .Net developer - check out these sessions! MySQL Learn the latest MySQL innovations and plans. Going to JavaOne? Oracle Big Data Spatial and Graph at JavaOne Check out these Spatial/Graph sessions! Database Development with Java: QoS and New APIs  Java Developers Roadmap at JavaOne Don't forget to visit all the teams at the Oracle Demogrounds throughout the show!  Our experts are on hand to hear about your implementations with Oracle Database.

Focus On Documents (FODs), created by Oracle database experts, are focused “roadmaps” to help you plan your activities for an optimized Oracle OpenWorld conference experience.  Whether you are focused...

Database

Oracle OpenWorld Database Hands-on-Labs. Seats Fill Fast. Reserve Your Spot Today.

Database and Cloud Hands-on-Labs at Oracle OpenWorld 2016 At Oracle OpenWorld, you’ll discover ways to optimize your database systems and solutions to help you take your business to the cloud. In the Hands-on-Lab sessions you’ll hear from Oracle experts and thought leaders sharing best practices aimed to make you successful at your job! Seats fill fast, so reserve your spot today! Building a Mobile Web Application Using Oracle Application Express 5.0 [HOL7447] Wednesday, Sep 21, 1:15 p.m. - 2:15 p.m. Thursday, Sep 22, 1:15 p.m. - 2:15 p.m. Building an Application Using Oracle Application Express 5.0: Part 1 [HOL7446] Monday, Sep 19, 4:15 p.m. - 5:15 p.m.                                                 Tuesday, Sep 20, 4:00 p.m. - 5:00 p.m. Database Security: Encrypt Your Crown Jewels and Manage Keys Efficiently [HOL7657] Wednesday, Sep 21, 3:30 p.m. - 4:30 p.m. Thursday, Sep 22, 3:30 p.m. - 4:30 p.m. Database Security: Preventing Privileged User Attacks [HOL7655] Monday, Sep 19, 6:00 p.m. - 7:00 p.m. Tuesday, Sep 20, 5:45 p.m. - 6:45 p.m. Getting Started with Oracle REST Data Services [HOL7369] Monday, Sep 19, 12:45 p.m. - 1:45 p.m. Tuesday, Sep 20, 9:45 a.m. - 10:45 a.m. Wednesday, Sep 21, 9:45 a.m. - 10:45 a.m. Thursday, Sep 22, 9:45 a.m. - 10:45 a.m. Hands-on Lab: Upgrade and Migrate to Oracle Database 12c Release 2 [HOL7377] Monday, Sep 19, 11:00 a.m. - 12:00 p.m. Tuesday, Sep 20, 8:00 a.m. - 9:00 a.m. Wednesday, Sep 21, 8:00 a.m. - 9:00 a.m. Thursday, Sep 22, 8:00 a.m. - 9:00 a.m. Improve OLTP Performance with an Application-Tier In-Memory Database [HOL7485] Wednesday, Sep 21, 3:30 p.m. - 4:30 p.m. Thursday, Sep 22, 3:30 p.m. - 4:30 p.m. Oracle Database Appliance Hands-on Lab Experience [HOL7456] Monday, Sep 19, 2:30 p.m. - 3:30 p.m. Tuesday, Sep 20, 11:30 a.m. - 12:30 p.m. Wednesday, Sep 21, 11:30 a.m. - 12:30 p.m. Thursday, Sep 22, 11:30 a.m. - 12:30 p.m. Oracle Database Cloud: Let’s Get Started [HOL7361] Monday, Sep 19, 2:30 p.m. - 3:30 p.m. | Hotel Nikko - Mendocino I/II (2nd Floor) Tuesday, Sep 20, 5:45 p.m. - 6:45 p.m. | Hotel Nikko - Mendocino I/II (2nd Floor) Wednesday, Sep 21, 1:15 p.m. - 2:15 p.m. | Hotel Nikko - Mendocino I/II (2nd Floor) Thursday, Sep 22, 11:30 a.m. - 12:30 p.m. | Hotel Nikko - Mendocino I/II (2nd Floor) Oracle Database In-Memory Boot Camp: Everything You Need to Know [HOL7365] Monday, Sep 19, 12:45 p.m. - 1:45 p.m. Tuesday, Sep 20, 9:45 a.m. - 10:45 a.m. Wednesday, Sep 21, 9:45 a.m. - 10:45 a.m. Thursday, Sep 22, 9:45 a.m. - 10:45 a.m. Oracle Multitenant: Hands-on Lab [HOL7435] Monday, Sep 19, 4:15 p.m. - 5:15 p.m. Tuesday, Sep 20, 4:00 p.m. - 5:00 p.m. Wednesday, Sep 21, 1:15 p.m. - 2:15 p.m. Thursday, Sep 22, 1:15 p.m. - 2:15 p.m. Oracle NoSQL Database for Administrators [HOL7385] Monday, Sep 19, 6:00 p.m. - 7:00 p.m. Oracle NoSQL Database for Application Developers [HOL7386] Tuesday, Sep 20, 5:45 p.m. - 6:45 p.m. Use Oracle Big Data SQL to Analyze Data Across Oracle Database, Hadoop, and NoSQL [HOL7384] Monday, Sep 19, 11:00 a.m. - 12:00 p.m. Tuesday, Sep 20, 8:00 a.m. - 9:00 a.m. Wednesday, Sep 21, 8:00 a.m. - 9:00 a.m. Thursday, Sep 22, 8:00 a.m. - 9:00 a.m. Using Oracle Database 12c as a NoSQL JavaScript Object Notation Document Store [HOL7441] Monday, Sep 19, 2:30 p.m. - 3:30 p.m. Tuesday, Sep 20, 11:30 a.m. - 12:30 p.m. Wednesday, Sep 21, 11:30 a.m. - 12:30 p.m. Thursday, Sep 22, 11:30 a.m. - 12:30 p.m.   Access a complete list of Sessions | Meet the Experts | Hands on Labs * Please note that content is still being added. The content behind the above links will be updated continuously. Of course Product Managers and experts will be at the demogrounds all week long. Please stop by - they WANT to talk with you to hear your Oracle Database experience for the Cloud. Register now for Oracle OpenWorld 2016.

Database and Cloud Hands-on-Labs at Oracle OpenWorld 2016 At Oracle OpenWorld, you’ll discover ways to optimize your database systems and solutions to help you take your business to the cloud. In the...

Database

Oracle Database at Oracle OpenWorld. Something For Everyone

Oracle OpenWorld 2016 Preview: Don't-Miss Database and Cloud Sessions Whether its your first time attending Oracle OpenWorld or you are a seasoned veteran - there's a lot to take in.  Below are a few of the sessions we think might be of interest to our database customers and those on their journey to the cloud. Whether you take one session in or all, be advised - wear comfortable shoes for the event! The World's #1 Database for the Cloud [GEN6367] Andrew Mendelsohn, Executive Vice President, Database Server Technologies, Oracle Join Oracle Executive Vice President Andy Mendelsohn to learn how Oracle Database 12c and Oracle Cloud are changing the economics of enterprise-class data management services. General Session: The Oracle Cloud Infrastructure Platform [GEN7610] Ganesh Ramamurthy, SVP, Product Development, Oracle Juan Loaiza, Senior Vice President, Oracle John Fowler, Oracle Join this executive trio, for a lively discussion on the latest technology trends that are driving deep engineering investment and efforts to deliver revolutionary infrastructure on premises and in Oracle Cloud. In this session, you will also gain deep insights from various engineering leaders on the motivations and design principles they are employing to build the best engineered systems to run all your applications. Do not miss out on this opportunity to hear from Oracle’s infrastructure thought leaders all in one place for a glimpse into the next decade of enterprise computing. General Session: Oracle Cloud PaaS and IaaS—Updated Strategy and Roadmap [GEN1806] Sandra Cheevers, Oracle Steve Daheb, Sr. Vice President, PaaS & IaaS Business Groups, Oracle Theresa Prasad, Oracle This session shares Oracle’s vision, strategy, and roadmap for helping transition customers to the public cloud. Get the latest updates on Oracle platform-as-a-service (PaaS) products for data management, big data and analytics, application development, integration, IT operations management, security, and more. You will hear about new open capabilities in Oracle’s infrastructure service offerings. Learn about the choice of deployment for on-premises and the public cloud. Finally, hear directly from customers about the value they receive from integrated solutions across software as a service, PaaS, infrastructure as a service (IaaS), and engineered systems. General Session: Software in Silicon Revolution - The Next Decade of Processor Design [GEN4856] Masood Heydari, SVP, Hardware Development, Oracle In this session, you will understand the advanced features that secure your application data with less effort; accelerate data analytics and Oracle Database 12c in-memory performance; and run Java middleware in the most efficient, fastest way. You will also understand Oracle’s strategy for creating the SPARC server technology that is changing the way customers look at their scale-out and cloud infrastructure, and hear the future outlook for Oracle systems based on SPARC designs. The event will also include a number of technical conference sessions to help attendees gain the most value from their investment in Oracle OpenWorld, including: Oracle Database In-Memory Best Practices for Getting Started with Oracle Database In-Memory [CON6059] Oracle Database In-Memory Part 2: A Deep Dive into the Next Generation [CON6409] Oracle Database In-Memory: What’s New and What’s Coming [CON6380] Oracle Database In-Memory Customer Panel [CON6381] Oracle Multitenant Oracle Multitenant: Ideal Architecture for World-Class SaaS [CON6562] Oracle Multitenant: The Road Ahead [CON6071] Oracle Multitenant: Customer Panel [CON6563] Database Cloud Best Practices for Moving Your Oracle Database to the Cloud [CON6126] Best Practices for Application Development with Oracle Database Cloud Service [CON6540] Best Practices for implementing Database Security in the Cloud [CON2901] Best Practices for Moving Databases to Oracle Cloud [CON6980] Security Customer Panel: The Science and Art of Deploying Database Security [CON6578] For Developers/DBAs Best Practices for Moving Your Oracle Database to the Cloud [CON6126] 12 Things DBAs Will Love About the Next Generation of Oracle Database [CON6554] 12 Things Developers Will Love About the Next Generation of Oracle Database [CON6553] Optimizing PL/SQL for Performance and Maintainability [CON6556] Data Visualization in Oracle Application Express 5.1 [CON6521] Oracle REST Data Services 101: Getting Started and Best Practices [CON6517] What's New in Oracle SQL Developer and Oracle SQL Developer Data Modeler [CON6514] Learn more and register now for Oracle OpenWorld 2016. Join the conversation with #oow16 #DB12c

Oracle OpenWorld 2016 Preview: Don't-Miss Database and Cloud Sessions Whether its your first time attending Oracle OpenWorld or you are a seasoned veteran - there's a lot to take in.  Below are a...

What Everybody Ought to Know About Database Hands-on-Labs at Oracle Openworld

Database and Cloud Hands-on-Labs at Oracle OpenWorld 2016 At Oracle OpenWorld, you’ll discover ways to optimize your database systems and solutions to help you take your business to the cloud. In the Hands-on-Lab sessions you’ll hear from Oracle experts and thought leaders sharing best practices aimed to make you successful at your job! Seats fill fast, so reserve your spot today! Building a Highly Available MySQL Database Service with Group Replication [HOL2912] Building a Mobile Web Application Using Oracle Application Express 5.0 [HOL7447] Database Security: Encrypt your crown jewels and manage keys efficiently [HOL7657] Database Security: Preventing Privileged User Attacks [HOL7655] Deploying Oracle Database on Oracle OpenStack for Oracle Linux [HOL6779] Getting Started with Oracle REST Data Services [HOL7369] Hands-on Lab: Upgrade and Migrate to Oracle Database 12c Release 2 [HOL7377] Improve OLTP Performance with an Application-Tier In-Memory Database [HOL7485] Maximizing Oracle Database 12c Performance with Oracle Enterprise Manager [HOL7627] Oracle Database Appliance Hands-on Lab Experience [HOL7456] Oracle Database Cloud: Let’s Get Started [HOL7361] Oracle Database In-Memory Boot Camp: Everything You Need to Know [HOL7365] Oracle GoldenGate Deep Dive and Oracle GoldenGate Cloud Service for Cloud Onboarding [HOL7528] Oracle Management Cloud: Optimize Capacity and Performance with IT Analytics [HOL7626] Oracle NoSQL Database for Administrators [HOL7385] Use Oracle Big Data SQL to Analyze Data Across Oracle Database, Hadoop, and NoSQL [HOL7384] Using Oracle Database 12c as a NoSQL JavaScript Object Notation Document Store [HOL7441] Access a complete list of Sessions | Meet the Experts | Hands on Labs * Please note that content is still being added. The content behind the above links will be updated continuously. Of course Product Managers and experts will be at the demogrounds all week long. Please stop by - they WANT to talk with you to hear your Oracle Database experience for the Cloud. Register now for Oracle OpenWorld 2016.

Database and Cloud Hands-on-Labs at Oracle OpenWorld 2016 At Oracle OpenWorld, you’ll discover ways to optimize your database systems and solutions to help you take your business to the cloud. In the...

Database

The Power of Database Cloud Migration

Webcast: Critical Success Factors for Database Migration to the Cloud Date: Wednesday, August 03, 2016 Time: 10:00 AM PT / 1:00 PM ET Your journey to the cloud starts with a single step.  We understand that step can be daunting, filled with uncertainty and questions. Will it be complicated, have unexpected costs or unanticipated workloads?  What about security?  Will application performance be affected?  You can minimize risk, reap the cost-efficiency and scalability benefits, and have peace of mind that its the right decision for your business.  Robert Green, Director of Product Management at Oracle will discuss how to plan for a database migration to the cloud and show you how Oracle Database Cloud enables an easy cloud migration Join us for this webcast to learn how to map out a thoughtful migration plan as well as: How to identify workloads that will benefit from a move to the cloud How to avoid risk and plan for the unexpected How Oracle Database Cloud enables an easy cloud migration You'll leave with the assurance that cloud is the right decision for your business as well as possess the knowledge to confidently oversee your cloud migration. Register today for our exclusive Webcast: Critical Success Factors for Database Migration to the Cloud Curious about Oracle Database Cloud Services?  The best way to see how Oracle Database Cloud Service can accelerate analytical performance and increase efficiency, security, and availability is to try it! Test-drive Oracle Database Cloud Service with our free 30 day trial!    

Webcast: Critical Success Factors for Database Migration to the Cloud Date: Wednesday, August 03, 2016 Time: 10:00 AM PT / 1:00 PM ET Your journey to the cloud starts with a single step.  We understand...

Oracle Cloud Machine: Oracle Cloud At Your Datacenter

Over the last few years there has been a flood of marketing around the explosion of data, and the resulting growth of cloud based services. In fact, industry analyst Gartner indicates that the worldwide public cloud services market will reach $204 Billion in 2016. However, there are sub-segments of the market that have been under served by cloud services, and many workloads that are primed for migration to the cloud remain on-premise. Did you know that 75% of enterprise workloads still remain on-premise? According to an IDC survey, “A View of the Cloud Market: Segmenting Cloud Buyers”, 18% of companies were using cloud services for 1-2 small production workloads, and another 20% were still in the planning phase of deployment. In addition to the challenges and complexity of migrating deep rooted enterprise workloads, many firms have hard concerns surrounding the security of these mission critical workloads when residing in public cloud. For this reason, Oracle recently announced the Oracle Cloud Machine, a new and disruptive solution for customers looking for the business agility and efficiency of cloud services, but who prefer the security and control of their own data centers.   The Oracle Cloud Machine is an integrated solution consisting of Oracle hardware and cloud (PaaS) software that is delivered to a customer’s site for deployment. As we mentioned above, there are sub-segments of the market that are underserved by cloud solutions. One such segment consists of large numbers of enterprises that are unable to leverage the benefits of a public cloud due to business and regulatory requirements, and instead require that their workloads run behind their firewall. These customers often fall into the Health Care and Finance verticals, but can also include entities whose business is tied to government programs. Figure-1: Oracle Cloud at Customer Portfolio   Oracle’s Cloud Machine delivers Oracle’s public cloud PaaS and IaaS capabilities behind your firewall, giving you a choice of where you run your workloads, and enabling workload portability across public cloud and on-premise deployments. This enables customers to benefit from cloud innovation in their own datacenters, and enables developers with the ability to rapidly build, test and deploy applications. OCM is made available via subscription based pricing, and is managed by Oracle, giving you unprecedented choice and single vendor accountability across public cloud and on premises. Some of the key customer benefits are as follows –  Oracle Cloud operated and delivered as a service behind your firewall Same PaaS and IaaS software, and the same updates as Oracle Cloud Same cost-effective subscription pricing model as Oracle Cloud Address regulatory, privacy, legal, and business requirements Keep control over business-critical systems. Use your own firewalls, load balancers, hardware VPNs, etc Whether a customer is looking to initiate a hybrid cloud model, or they already have a portion of their workloads off-premise, the Oracle Cloud Machine offers a unique solution that ensures compatibility for your on-prem and cloud deployments of Oracle database, software and applications. Figure-2: Oracle Cloud Machine Initial Offering In summary, when engaging with customers some of the primary challenges they face in enabling a cloud environment are regulatory compliance, database sprawl, latency and performance concerns coupled with internal pressures to keep pace with the competition and reduce IT costs. Many customers were investigating a cloud enablement but became frustrated with the lack of compatibility between their on-prem platform and the cloud platform they were considering. For more information please visit us at this site, and see how customers like IT consulting firm Cognizant leverage the Oracle Cloud Machine internally and externally to improve their daily business performance. Figure-3: Customer Challenges & The Oracle Cloud Machine Value Proposition Resources: •Oracle Database Cloud – cloud.oracle.com/database •Oracle Database Cloud 30 Days Trial - http://www.oracle.com/webfolder/technetwork/tutorials/infographics/dbcs_trial_quickview/index.html •Oracle Newsletters - http://www.oracle.com/us/syndication/subscribe/index.html Follow Us On Social Media: •Twitter: http://twitter.com/oracledatabase •Facebook: https://www.facebook.com/OracleDatabase •Google+ Community: https://plus.google.com/communities/101394147384545405907 •YouTube: http://www.youtube.com/view_play_list?p=5E3FA07BB2D4BF6E •LinkedIn: https://www.linkedin.com/groups/2129659

Over the last few years there has been a flood of marketing around the explosion of data, and the resulting growth of cloud based services. In fact, industry analyst Gartner indicates that the...

Oracle Database Solutions: Proven Market Leadership

In a non-sponsored survey conducted by IT Brand Pulse titled, “IT Pros Vote 2016 Server & Database Brand Leaders” finds Oracle to be leading in the SQL Database market segment. IT Brand Pulse, a trusted source for research, data and analysis about data center infrastructure conducted the survey with the intent to measure the pulse of brand leadership in specific product categories. Within each product category, respondents choose the overall market leader, as well as the leader in price, performance, reliability, service and support, and innovation. From the survey, Oracle is voted as market leader in key database segments for: • SQL Database • Performance • Reliability • Service and Support • Innovation For In-Memory database, Oracle leads in nearly all categories including: Market Leader, Performance, Reliability, Service and Support and Innovation Figure-1: IT Pros Vote 2016 Server & Database Brand Leaders In-Memory databases have been in the market for a few years, so why are they now becoming so important? The answer is that the explosion of data has forced data stores to continue to grow larger and more diverse. In addition to this complexity, so too is the growing demand for greater performing analytics. In-memory databases enable decision makers to have access to real time analytics, which in turn enable businesses to be more agile and ultimately better equipped to compete in the market. Oracle’s DBIM solutions provide extreme performance for analytics through in-memory acceleration and are also very cost effective. The engineering design supports both scale-up and scale-out models that can provide up to 100’s of terabytes of memory and 1000’s of CPU threads. Lastly, the architectural foundation was designed to be “cloud-ready”, helping ensure that the in-memory database is 100% compatible with Oracle tools, as well as 3rd party solutions. Figure-2: Oracle DBIM Key Benefits The survey also highlights Oracle’s strength in the SQL Database segment, and one such differentiator is security. Oracle has a distinct advantage over the competition in providing security on Oracle databases because security is multilayered and at the same time built directly into the Oracle database kernel. Oracle also offers database security solutions that work with non-Oracle databases by virtue of years of working with many of the world’s largest, most complex customer environments. Let’s take a look at some of the security advantages Oracle provides for SQL Database that go beyond other competitive offerings- • Database Activity Monitoring – While some SQL Database solutions rely on secondary software providers to provide this feature, Oracle offers Oracle Audit Vault and Database Firewall (OAVDF) to proactively monitor Oracle and non-Oracle database traffic to detect and block unauthorized activity • Secure Centralized Configuration – Other databases offer fewer capabilities to enable efficient consolidation and centralization of database services. This inability to consolidate efficiently results in database proliferation affecting cost, management effort, and security. Oracle’s centralization, configuration management tools, and architectural flexibility help control database sprawl making it possible to implement and enforce consistent security policies. • Privilege and Sensitive Data Discovery – There are some non-Oracle solutions that do not provide tools to locate sensitive data within SQL databases or to identify how privileges are being used. Oracle Enterprise Manager provides discovery of sensitive, high-risk data, as well as policy-based monitoring of privilege usage and reporting on how privileges are actually being used. As we discussed throughout this blog, Oracle Database offers a highly proven and differentiated database offering. As highlighted by IT Brand Pulse, in addition to bringing meaningful innovation through in-memory database solutions, Oracle also focused on customer centric values, and was the leader in reliability, service and support. With Oracle’s Data Management Cloud Services, Oracle now offers customers the choice to harness the power of Oracle database on-premise, or to leverage cloud services to deploy Oracle database solutions. For more information on Oracle Database Cloud Services please visit us at - cloud.oracle.com/database Resources: · Infographic: Oracle Database In-Memory (DBIM · Oracle SQL Developer · Oracle Database Cloud 30 Days Trial · Oracle Newsletters Follow Us On Social Media: · Blog: https://blogs.oracle.com/databaseinsider/ · Twitter: https://twitter.com/oracledatabase · Facebook: https://www.facebook.com/OracleDatabase · LinkedIn: https://blogs.oracle.com/databaseinsider/

In a non-sponsored survey conducted by IT Brand Pulse titled, “IT Pros Vote 2016 Server & Database Brand Leaders” finds Oracle to be leading in the SQL Database market segment. IT Brand Pulse, a...

Oracle Data Management Solutions: Leadership From The Data Center To The Cloud

With nearly four decades of data management and analytics innovation, Oracle is off to a strong start for 2016. Industry analyst Gartner has recognized Oracle’s leadership among technology providers offering data management solutions. Gartner evaluates solution providers based on a variety of criteria including performance, customer usability, innovations, vision completeness and pricing. Based on these and other parameters, Gartner has published its latest Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, and it is our opinion that Oracle stood out from the competition by offering a truly unique value proposition to its customers, and the ability to execute on its strategy. Figure-1: Magic Quadrant for Data Warehouse & Data Management Solutions for Analytics Now Oracle is harnessing the strength of its on-premise solutions to bring this value to customers through unique and differentiated cloud offerings. Spanning data centers across twenty countries, Oracle offers a complete ecosystem of cloud services including Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), and Data-as-a-Service (DaaS). Figure-2: Bringing Industry Leading Data Warehouse Expertise To The Cloud From these service segments, Oracle extends several full-featured data management offerings that align to each step of a customer’s data path. Whether a customer is looking to enable compute services for data ingestion or disaster recovery services for data retention, Oracle’s hybrid cloud design has an end-to-end portfolio that is 100% compatible with on-premise Oracle solutions. Figure-3: Oracle’s Data Management Cloud Services As enterprise data management cloud services become more pervasive, data warehouse solutions are also growing in demand. Data warehouse cloud services offer a variety of benefits. First, as data warehouses gather the data from databases and create a layer that is optimized and dedicated to analytics, DWaaS helps reduce the cost and complexity of managing the associated hardware, and enable analysts to focus on extracting value from their data. Secondly, as illustrated above, data has its own life-cycle and does not exist in a silo. By having your data warehouse in the cloud it enables data to flow more readily into key destination points. One such destination point is a business intelligence engine. Oracle offers an intuitive and agile BI cloud offering that extends your analytics with the power of the market-leading Oracle Database. Oracle also supports 3rd party BI and ETL solutions through its IaaS offering to help ensure ease of integration. Lastly, whether your firm is experienced with Hadoop implementations, or you are looking to begin testing its capabilities, Oracle offers a big data cloud service that aligns with emerging trend for hybrid transactional & analytical platforms. This dual path approach helps ensure that you can capture the value of Hadoop and integrate these new data streams within your traditional data consumption models. One of the big challenges for customers is that many public cloud providers lack support for a true hybrid-cloud and-on-premise data warehousing combination, which is the model that is predicted to be the norm for most organizations by the end of 2018. A second challenge with public cloud providers is that most customers are not looking for point product services, nor are they are satisfied by the incomplete solutions offered. Oracle offers true enterprise grade cloud solutions that are engineered for a compatible hybrid-cloud deployment. Oracle’s Data Warehouse Cloud Differentiation: The #1 relational database in the industry, offered fully featured to Oracle cloud customers, a value proposition no other public cloud provider can offer. A high-performance data management cloud offering in the Oracle Database Exadata Cloud Service. In-Memory database provides rapid analytic scans enabling queries to execute up to 100X faster, which in turn helps accelerate decision making and better agility. Oracle offers a fully featured cloud DNA that is purposely engineered to enable a hybrid cloud deployment that is 100% compatible with Oracle databases. 75% faster deployment of Oracle databases and applications for faster time to value. While most public cloud providers utilize commodity hardware, Oracle implements a hardened, enterprise grade, architecture optimized for critical workloads. Industry leading 10x data compression for reduced storage costs and increased performance. Figure-4: A True Enterprise Grade Cloud Service Current Oracle customers leveraging our data management cloud services fall into two major use categories: Migration To The Cloud New Monetization Opportunities Figure-5: Data Warehouse Use Cases In The Cloud In the first category, we find customers that are taking more common use cases such as enterprise data warehousing, “sandbox” environments and data back-up, and they are migrating portions or all of these work streams into the cloud. In these use cases, customers value the elasticity of compute and storage resources to help address the peaks and valleys of consumption. In the second category we find customer use cases that are focused on driving new revenue streams for their companies. Oracle offers a variety of solutions that guide a customer to a common goal; the ability to leverage analytics to unlock the value of their data and deliver meaningful business value. Here the key cloud use cases are data warehousing with compute analytics, high-performance data management and big-data services. As we discussed throughout the blog, it is Oracle's goal to bring its expertise proven in on-premise solutions, and replicate this in a suite of cloud services that truly deliver executable value for its customers. The Gartner Magic Quadrant for Data Warehouse & Data Management Solutions summaries Oracle's leadership in its ability to deliver innovation across the combination of hardware and software towards a single solution that is easy to deploy and manage. This unique differentiation has become Oracle's foundation for building a true enterprise ready cloud offering. For customers looking for data warehouse cloud services, Oracle provides a flexible offering that was designed to help reduce IT costs, increase business agility and performance, but also reduce risk through safe and secure data storage. For more information on Oracle Data Management Cloud Services please visit us at - https://cloud.oracle.com/en_US/data-management Resources: Data Warehouse Asset Tool - http://www.oracle.com/us/media/survey/index-191201.html DWaaS Infographic: Bringing Industry Leading Data Warehouse Expertise To The Cloud - http://www.oracle.com/us/products/database/oracle-dwaas-infographic-2946717.pdf Oracle Database Cloud – https://cloud.oracle.com/en_US/database Oracle Database Cloud 30 Days Trial - http://www.oracle.com/webfolder/technetwork/tutorials/infographics/dbcs_trial_quickview/index.html Oracle Newsletters - http://www.oracle.com/us/syndication/subscribe/index.html Follow Us On Social Media: Blog: blogs.oracle.com/datawarehousing Twitter: http://twitter.com/oracledatabase Facebook: https://www.facebook.com/OracleDatabase Google+ Community: https://plus.google.com/communities/101394147384545405907 YouTube: http://www.youtube.com/view_play_list?p=5E3FA07BB2D4BF6E LinkedIn: https://www.linkedin.com/groups/2129659 Flipboard: http://flip.it/fKOUS Paper.li: http://paper.li/OracleBigData/1384259272   Note: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

With nearly four decades of data management and analytics innovation, Oracle is off to a strong start for 2016. Industry analyst Gartner has recognized Oracle’s leadership among technology providers...

Oracle

Integrated Cloud Applications & Platform Services