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Real-time

VoltDB / Real-time

Real-time

Real-time data processing involves a continual input, process and output of data. Data must be processed in a small time period. Real-time data processing is the execution of data in a short time period, providing near-instantaneous output. The processing is done as the data is inputted, so it needs a continuous stream of input data in order to provide a continuous output. Also called stream processing, these types of systems are able to take input of rapidly changing data and then provide output near instantaneously so that change over time is readily seen in such a system. Stream processing, or streaming analytics, is the analysis of large, in-motion data called event streams. These streams comprise events that occur as the result of an action or set of actions, such as a financial transaction, equipment failure, or some other trigger.

Recently, we held a webinar, hosted by one of our engineers, entitled “Discussion & Demo — Machine Learning with True Real-Time Decisioning”. In it, we explored how intelligent real-time decisioning technology in machine learning helps you operationalize your analytics and take the next critical step in realizing your machine learning goals. It also featured a live demonstration showcasing machine learning for fraud prevention using VoltDB’s real-time data platform.

Not surprisingly, your business has collected a lot of data over the past few years, and you have used some analytical databases or data warehouses to organize and understand your insights. Congratulations, you have taken the 1st step with your data strategy, and produced analytics that will help drive your business!

Meanwhile, your applications need to operate in real-time to make immediate decisions on streaming data or data in motion on both your customer facing applications that drive revenue or build brand loyalty – as well as those internal applications that help your business operate efficiently, reducing bottom line costs. Using analytics directly in the applications can help apply what you have learned to automate your business workflow and remove the manual components.

Editor’s Note: This was originally posted by VanillaPlus, regarding a webinar VanillaPlus hosted featuring Beccham Research and VoltDB.

With the ever-nearing move to 5G and the impending explosion of industrial IoT use cases, data is going to play a very important role in the quality of service assurance, know your customer (KYC) and security. With this in mind VanillaPlus recently hosted a webinar to explore strategies around how the policy and charging rules function (PCRF) is developing in order to support 5G, the expanded use cases involved and the new operational environment.

Editor's Note: This post originally appeared on November 1, 2017 on the InfoWorld blog. It is republished with permission. Even Google and Amazon can’t process data instantly—here’s how to combat latency in your real-time application Despite all the advances we’ve seen in data processing and database technology,...