Connecting Velocity to Value: Introducing Oracle Fast Data

To understand fast data, one must first look at one of the most compelling new the breakthroughs in data management: big data. Big data solutions address the challenge today’s businesses are facing when it comes to managing the increasing volume, velocity, variety of all data - not just data within as well as about the organization. Much of the buzz and to-do around big data has been around Hadoop, NoSQL technologies, but little has been talked about velocity. Velocity is about the speed this data is generating. In many cases the economic value of this data diminishes fast as well. As a result, companies need to process large volumes of data in real-time and make decisions in a more rapid fashion to create value from highly-perishable, high-volumes of data in business operations.

This is where fast data comes in. Fast data solutions help manage the velocity (and scale) of any type of data and any type of event to enable precise action for real-time results.

Let’s look at a quick example of applying this concept to a particular industy, say the utilities industry. Utilities organizations which have implemented smart grid or smart metering infrastructure may be utilizing a combination of devices and high volume of events which are delivered over a vast network; these events need to be filtered, correlation, moved, and analyzed to influence real-time actions. Many of those decisions need to be instantaneous to prevent wider issues or faults from occurring. For example, many may remember the Northeast blackout of 2003 which impacted over 55 Million people. Would the same cascading effect have occurred had a fast data solution been put in place?

Fast data solutions come from multiple technologies, and some of the concepts, such as complex event processing and business activity monitoring, have been in use in areas such as the financial services industry for years. But often, the pieces were used in isolation—a complex event process engine as a standalone application to apply predefined business rules to filter data, for example. But when these concepts are tied to analytics, capabilities expand to allow improved real-time insights. By tying together these strands, companies can filter/correlate, move/transform, analyze, and finally act on information from big data sources quickly and efficiently, enabling both real-time analysis and further business intelligence work once the information is stored.

Oracle’s Fast Data solutions offer multiple technologies that work hand-in-hand to create value out of high-velocity, high-volume data. They are designed to optimize the efficiency, scale for processing high volume events and transactions. There are four main components for this solution: 

Filter and Correlate. With Oracle Event Processing you can use predefined rules to filter and correlate data through big data sources. In addition, this solution has the advantage that it can run in-memory to optimize performance, scale by integrating with Oracle CoherenceOracle Event Processing is a complete solution for building applications to filter, correlate and process events in real-time so that downstream applications, service oriented architectures and event-driven architectures are driven by true, real-time intelligence.

Move and Transform. With Oracle Data Integrator and Oracle GoldenGate you can capture data (structured or unstructured) and immediately move information where it is needed—and in the right format—to best support decision making. Oracle Data Integration product family combines all the elements of data integration—real-time and bulk data movement, data synchronization, big data transformation, data quality, and data services into a unified platform.

Analyze. Oracle Business Analytics enables you to discover what’s possible for real-time analysis. Oracle Endeca Information Discovery is an enterprise data discovery platform for advanced, yet intuitive, exploration and analysis of complex and varied data.

Act. Oracle Real-Time Decisions together with Oracle BPM, helps support both automated decision-making as well as more complex, human-based interactions, such as business process management. Oracle Real-Time Decisions makes optimized real-time decisions based on available data by leveraging real-time predictive models, business rules and performance goals.

All of these components run on a rich data tier environment which supports both: Big Data Hadoop/NoSQL, as well as SQL, and scales elastically on standards based Java platforms. Only Oracle has a complete and integrated solution with the best-of-breed components when it comes to processing events, data, and analytics in real time.  And, only Oracle can run these fast data components on diverse deployment architectures, including device gateways, big data environments, or engineered systems

To learn more about Oracle’s Fast Data Solutions, join our upcoming webcast on Wednesday, Feb Wednesday, February 27, 2013 at 10:00 AM PST. Register now to hear from: Hasan Rizv, Oracle EVP for Fusion Middleware and Tony Baer, Principal Analyst from Ovum. Also featured in this webcast is Turkcell that will provide an overview of their Mobile Billboard which processes over 2 billion events daily.

Join us in the conversation on twitter at #oraclefastdata

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