Thursday Aug 15, 2013

Putting Data to Work Using Enterprise Data Quality

Data Quality is a hot new topic that may not get covered much on our data integration blog [we’re now changing that!]. Oracle Enterprise Data Quality an essential element in the data integration portfolio. You can think of Oracle Enterprise Data Quality as your favorite one-size-swiss-army-multitool which can be applied to any number of data management and governance situations. These cases range from Master Data Management, application integrations, system migrations, BI and data warehousing, and finally governance, risk and compliance solutions. Let’s look at a couple of examples for each case:

  • Master your Data. No matter the type of information you are mastering and syncing—product, customer, supplier, employee, site, citizen, or any other type—you need a data quality process for initial cleanup and load as well as for ongoing duplicate prevention and governance. A sophisticated MDM program will even verify data as it is entered into spoke systems, preventing data quality problems at the source. For some organizations, the idea of implementing a data hub is just too daunting. Implementing an enterprise data quality (EDQ) solution to clean up legacy systems and drive consistent standards won’t deliver as much benefit as a true MDM solution, but it’s a cheaper, faster alternative that can help in the short term and pave the way for a more comprehensive MDM strategy down the road.
  • Drive Application Innovations. Business applications are only as useful as the data they present. The more complex your application landscape, the more likely you are to need a data quality program to drive consistent data across all your systems. EDQ solutions can clean up legacy systems and put preventative verification and governance processes in place to ensure a steady stream of high-quality data for all kinds of systems, such as customer relationship management, human resources, product lifecycle management, and search (especially for solutions based on Oracle Endeca, which thrives on well-structured, well-standardized data).
  • Simplify Migrations. Merging disparate data from many sources requires a disciplined approach to profiling, discovery, standardization, match, merge, case management, and governance. EDQ solutions pave the way to a smooth implementation by providing the tools you need to make sure you maintain data quality as you migrate systems.
  • Improve Business Insights. As with other business applications, BI is a case where putting garbage data in means you’ll get garbage data out. EDQ solutions can be used to standardize and deduplicate the data being loaded into a data warehouse.
  • Deliver on Compliance. Regulatory compliance of all kinds—including policies related to taxes, privacy, antiterror, and antimoney-laundering—require matching up data pulled from a variety of sources. With EDQ solutions, organizations can meet regulatory mandates with capabilities that support everything from simple deduplication of customer lists to matching data against government lists of suspected terrorists.

You can learn more about our Enterprise Data Quality multitool in our upcoming webcast! Unlike swiss army knives it is guaranteed never to rust or stop you in an airport metal detector.

Watch Putting Data to Work Using Oracle Enterprise Data Quality Solutions on Tuesday, August 27 at 10:00 a.m. PT, and learn more about the Oracle Enterprise Data Quality suite of products.

Tuesday Oct 02, 2012

Fast Data: Go Big. Go Fast.

For those of you who may have missed it, today’s second full day of Oracle OpenWorld 2012 started with a rumpus. Joe Tucci, from EMC outlined the human face of big data with real examples of how big data is transforming our world. And no not the usual tried-and-true weblog examples, but real stories about taxi cab drivers in Singapore using big data to better optimize their routes as well as folks just trying to get a better hair cut. Next we heard from Thomas Kurian who talked at length about the important platform characteristics of Oracle’s Cloud and more specifically Oracle’s expanded Cloud Services portfolio. Especially interesting to our integration customers are the messaging support for Oracle’s Cloud applications. What this means is that now Oracle’s Cloud applications have a lightweight integration fabric that on-premise applications can communicate to it via REST-APIs using Oracle SOA Suite. It’s an important element to our strategy at Oracle that supports this idea that whether your requirements are for private or public, Oracle has a solution in the Cloud for all of your applications and we give you more deployment choice than any vendor.

If this wasn’t enough to get the juices flowing, later that morning we heard from Hasan Rizvi who outlined in his Fusion Middleware session the four most important enterprise imperatives: Social, Mobile, Cloud, and a brand new one: Fast Data. Today, Rizvi made an important step in the definition of this term to explain that he believes it’s a convergence of four essential technology elements:

  • Event Processing for event filtering, business rules – with Oracle Event Processing
  • Data Transformation and Loading - with Oracle Data Integrator
  • Real-time replication and integration – with Oracle GoldenGate
  • Analytics and data discovery – with Oracle Business Intelligence

Each of these four elements can be considered (and architect-ed) together on a single integrated platform that can help customers integrate any type of data (structured, semi-structured) leveraging new styles of big data technologies (MapReduce, HDFS, Hive, NoSQL) to process more volume and variety of data at a faster velocity with greater results. 

Fast data processing (and especially real-time) has always been our credo at Oracle with each one of these products in Fusion Middleware. For example, Oracle GoldenGate continues to be made even faster with the recent 11g R2 Release of Oracle GoldenGate which gives us some even greater optimization to Oracle Database with Integrated Capture, as well as some new heterogeneity capabilities. With Oracle Data Integrator with Big Data Connectors, we’re seeing much improved performance by running MapReduce transformations natively on Hadoop systems. And with Oracle Event Processing we’re seeing some remarkable performance with customers like NTT Docomo. Check out their upcoming session at Oracle OpenWorld on Wednesday to hear more how this customer is using Event processing and Big Data together.

If you missed any of these sessions and keynotes, not to worry. There's on-demand versions available on the Oracle OpenWorld website. You can also checkout our upcoming webcast where we will outline some of these new breakthroughs in Data Integration technologies for Big Data, Cloud, and Real-time in more details.


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Learn the latest trends, use cases, product updates, and customer success examples for Oracle's data integration products-- including Oracle Data Integrator, Oracle GoldenGate and Oracle Enterprise Data Quality

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