Gartner Research

Use Complex-Event Processing to Keep Up With Real-time Big Data

Published: 13 August 2012

ID: G00236535

Analyst(s): W. Roy Schulte , Bill Gassman

Summary

The conventional save-and-process paradigm is not fast enough to get immediate value from big data that is delivered at high rates of speed. Companies that need to analyze real-time data for time-critical applications, or add value to data before storing it, must use complex-event processing.

Table Of Contents
  • Impacts

Analysis

  • The need for enterprises to respond faster to changing conditions is driving architects and project leaders to use complex-event processing (CEP) in more business processes
  • The conventional save-and-process paradigm is not fast enough to get immediate value from big data that is delivered at high rates of speed
  • No technology is capable of handling all types (real-time, near-real-time and offline) of big data processing

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