What Is Stream Processing?

Written by Indicative Team


Stream Processing Defined

Stream processing is a Big Data computer programming system, that allows applications to exploit a limited form of parallel processing. It is used to query continuous data streams and detect conditions quickly, within a small time period from the time the data was received. 

Stream processing is also known as real-time analytics, streaming analytics, Complex Event Processing, real-time streaming analytics, and event processing.

Benefits of stream processing include:

  • Process massive amounts of streaming events
  • Respond in real-time to changing market conditions
  • Continuously monitor data and interactions
  • Scale according to data volumes
  • Remain agile and handle issues as they arise
  • Detect interesting relationships and patterns

In Data Defined, we help make the complex world of data more accessible by explaining some of the most complex aspects of the field.

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