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With multiple technologies that work hand-in-hand to create value out of high-velocity, high-volume data, Oracle’s fast data solutions are designed to optimize efficiency and scale for processing high-volume events and transactions.
While the term Fast data might be new; it’s a set of mature ideas and technologies around the rapid processing of events and high volumes of data for improved analytical insights. It’s recently been impacted by the explosion in volume and variety of data [big data]; the ubiquitous nature of devices and internet of things, and ultimately the heightened expectations of customers. No longer do we see fast data in only financial stock exchanges or limited to Hadoop based deployments; but it’s becoming more and more pervasive across industries as companies are recognizing the need to run their businesses in real-time.
o 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.