Category:Distributed stream processing

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Distributed stream processing engines solve the demand for increasing stream processing. Immense amounts of data have to be processed fast from a rapidly growing set of disparate data sources. Stream-based applications include trading, social networks, Internet of things, system monitoring, and many other examples.

Stream processing opposed to batch processing and micro batch processing has the following properties:

  • a one-at-a-time processing model
  • data are processed immediately upon arrival
  • computations are relatively simple and generally independent
  • sub-second latency
  • difficult to maintain state efficiently[1]

References

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  1. http://www.cakesolutions.net/teamblogs/introduction-into-distributed-real-time-stream-processing

Pages in category "Distributed stream processing"

The following 3 pages are in this category, out of 3 total.