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Complex Event Processing (CEP)

What is Complex Event Processing (CEP)?​

Complex Event Processing (CEP) is a technology used for querying data before storing it in a database or analyzing it in real-time without ever storing it. CEP is an organizational tool that helps to aggregate different information and identify cause-and-effect relationships among events in real-time, allowing you to proactively take effective actions. CEP is commonly used to address the following requirements: low latency, high volume of input events per second, and complex event patterns to be detected.

Major Application Areas for Complex Event Processing (CEP)​

CEP has major applications in the following areas:

  • Business Activity Monitoring: Identifies problems and opportunities in early stages by monitoring business processes and other critical resources.

  • Sensor Networks: Used for monitoring industrial facilities, usually derived from raw numerical measurements such as temperature and smoke.

  • Market Data: Such as stock or commodity prices, derived from several events and their relationships through CEP.

The Most Common Tools Used for Complex Event Processing​

The most common tools used for CEP are:

  • Apache Spark Streaming used by IOMETE
  • Apache Flink used by data Artisans
  • Apache Samza used by LinkedIn
  • Apache Storm used by Twitter
  • Hadoop/MapReduce
  • Amazon Kinesis Analytics
  • Microsoft Azure Stream Analytics, Stream Insight
  • Fujitsu Software Interstage Big Data Complex Event Processing Server
  • IBM Streams, Operational Decision Manager (ODM)
  • Oracle Stream Analytics and Stream Explore

By using CEP, businesses can identify opportunities and threats in real-time, making it a valuable tool for organizations looking to stay ahead of the competition.

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