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Oracle Big Data Cloud services for all - Insights built to last

Hany Mohamed
EMEA Cloud Transformation Consultant

Big data remain a topic everyone seems to be talking about it, but still many wonder "what is big data really?"
How is it changing the way researchers at companies, non-profits, governments, institutions, and other organizations are learning about the world around them.? Which technology provider should i trust ? What kind of data-set should be collected ? and many more similar questions we will try to answer during this post.

Big Data came to existence as a way to handle  extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. The more the data we could collect, the more complicated managing them became, thus different ways of handling and making sense of them had to be created. But most importantly, the more the data we could collect, the more information and insight we could get.

For Oracle, Big data describes a holistic information management strategy that includes and integrates many new types of data and data management alongside traditional data.

So, How is Big data used in practice ? 

Big data analytics helps organizations tie up their data together and use it to identify new Business opportunities that leads to smarter business moves more efficient operation , higher profit and customer satisfaction  .

  • Targeting Customers

Big data is used to better understand customers and their behaviors and preferences. Companies are keen to expand their traditional data sets with social media data, browser logs as well as text analytics and sensor data to get a more complete picture of their customers.

  • Humanizing Cities and Countries .

Big Data allows cities to optimize traffic flows based on real time traffic information as well as social media and weather data.

  • Optimize Business processes.

Big data is also increasingly used to optimize business processes. Retailers are able to optimize their stock based on predictions generated from social media data, web search trends and weather forecasts.

  • Personal qualification and performance optimization.

Big data is not just for companies and governments but also for all of us individually. We can now benefit from the data generated from wearable devices such as smart watches or smart bracelets. Take the Up band from Jawbone as an example: the armband collects data on our calorie consumption, activity levels, and our sleep patterns. While it gives individuals rich insights, the real value is in analyzing the collective data.

  • Financial trading.

High-Frequency Trading (HFT) is an area where big data finds a lot of use today. Here, big data algorithms are used to make trading decisions. Today, the majority of equity trading now takes place via data algorithms that increasingly take into account signals from social media networks and news websites to make, buy and sell decisions in split seconds.

Why Oracle Big data  ?

In a natural evolution from database and data warehouses, where Oracle is the #1 enterprise choice, Oracle invests in Big Data allowing you to gain a competitive advantage with an information strategy and big data architecture focused on data liquidity. Oracle extends your data management abilities to getting the data you want into the shape you need with the minimum time and effort.

  1. Oracle has got the biggest number of successful implementations a cross business industries .
  2. Biggest batch of tools and facilities makes easier and faster development .
  3. Biggest scalability and speed for data processing .
  4. Affordable price compared to other vendor experimental products .
  5. An engineered system called Big Data Appliance .

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

And then comes Big Data in the Cloud @cloud.oracle.com

Using the power of the cloud, Oracle Big Data becomes accessible to all, helping you get the most out of big data technologies today, and in minutes.

  1. Cost reduction. Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business.
  2. Big Data Connectors. Integrated with cloud and on-premises services. You can seamlessly integrate with other Oracle services using big data connectors.
  3. Elastic. Start small and grow your cluster based on processing needs. Scale to handle petabytes of data, no additional setup & administrators fees.
  4. Faster, better decision making. With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.
  5. Oracle managed  service . Have Oracle manage the cluster for you, or manage it yourself with easy-to-use tooling. Single-click patching and upgrades.

Together Oracle Big Data Cloud Service and Oracle Big Data SQL Cloud Service are dedicated, elastic, secure and comprehensive, delivering the power of Hadoop and Spark, which can be fully integrated with existing enterprise data in Oracle Database and Oracle Applications.

With an additional choice of Oracle’s Big Data Cloud Service – Compute Edition we now deliver a Big Data Platform designed for the enterprises using open source technologies like Apache Spark and Apache Hadoop. In this service we utilize Oracle’s Infrastructure Cloud Services to deliver a managed, secure, elastic and integrated Platform for all Big Data Workloads.


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