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Take a closer look at your Spark implementation

July 7, 2016

Via: InfoWorld

Apache Spark, the extremely popular data analytics execution engine, was initially released in 2012. It wasn’t until 2015 that Spark really saw an uptick in support, but by November 2015, Spark saw 50 percent more activity than the core Apache Hadoop project itself, with more than 750 contributors from hundreds of companies participating in its development in one form or another.

Spark is a hot new commodity for a reason. Its performance, general-purpose applicability, and programming flexibility combine to make it a versatile execution engine.

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