What’s next for open-source Spark?

A crowd of more than 1,500 gathered Wednesday in Boston to hear about the future for the open-source big data engine.

As published on Network World.  Boston — A conference focused on a single open source project sounds like the sort of event that will feature a lone keynote speaker speaking to maybe 100 interested parties in a lecture hall at a local college. Spark Summit East was very much the opposite.

A total of 1,503 people watched the five keynote speakers in a cavernous ballroom at the Hynes Convention Center lay out the future of Spark, the big data processing engine originally developed at the University of California – Berkeley by Matei Zaharia. Spark underlies huge data-driven applications being used by major players like Salesforce, Facebook, IBM and many others, helping organize, analyze, and surface specific grains of sand from beach-sized databases.

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Part of the reason that Spark has taken off in such a big way, said Zaharia from the stage, is that Moore’s Law has slowed down considerably of late. While the average data center network connection is about 10 times faster than it was even seven years ago, and the average storage I/O rate has grown by a similar amount, CPUs have remained roughly the same.  Read the rest HERE.