Streaming data processing is a big deal in big data these days, and for good reasons.

July 17, 2017 no comments Posted in Análise de Dados

Streaming data processing is a big deal in big data these days, and for good reasons. Amongst them:

  • Businesses crave ever more timely data, and switching to streaming is a good way to achieve lower latency.
  • The massive, unbounded data sets that are increasingly common in modern business are more easily tamed using a system designed for such never-ending volumes of data.
  • Processing data as they arrive spreads workloads out more evenly over time, yielding more consistent and predictable consumption of resources.

Despite this business-driven surge of interest in streaming, the majority of streaming systems in existence remain relatively immature compared to their batch brethren, which has resulted in a lot of exciting, active development in the space recently.

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Source: The world beyond batch: Streaming 101 – O’Reilly Media

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