Apache Spark is the most popular big data project at the moment, with thousands of contributors cranking out code on a weekly basis. Keeping up with Spark releases is hard, and it’s why Hadoop distributor Hortonworks views itself as a Sherpa that guides customers on how best to use the explosive big data tech.
The amount of activity on Apache Spark is extraordinarily high, with hundreds of JIRA issues being addressed every week, and thousands more in the queue. The Apache project unleashed version Spark version 1.6 two weeks ago, and already some Spark backers are working on Spark 2.0.0.
Author: Alex Woodie
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