Category:Distributed stream processing
From Infogalactic: the planetary knowledge core
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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Pages in category "Distributed stream processing"
The following 3 pages are in this category, out of 3 total.