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The next steps for Spark in the cloud

June 9, 2016

Over the course of the last couple of years, Apache Spark has enjoyed explosive growth in both usage and mind share. These days, any self-respecting big data offering is obliged to either connect to or make use of it.

Now comes the hard part: Turning Spark into a commodity. More than that, it has to live up to its promise of being the most convenient, versatile, and fast-moving data processing framework around.

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