Complex event processing
Complex event processing (CEP) is another analytic engine that is often used for pattern detection. From its roots in discrete event simulation and stock market volatility trading in the 1990s, it is by nature, a method capable of analyzing a live feed of streaming data in near real time. As hundreds and thousands of events enter the system, they are reduced and distilled into higher-level events. These are more abstract than raw sensor data. CEP engines have the advantage of a fast turnaround time in real-time analysis over a stream processor. A stream processor can resolve an event in the millisecond time frame. The downside is a CEP doesn't have the same level of redundancy, or dynamic scaling, as Apache Spark. ...
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