Tag Archives: Spark ML

Spark 2.0 Released

The Apache Spark team announces the production release of Spark 2.0.0.  Release notes are here. Read below for details of the new features, together with explanations culled from Spark Summit and elsewhere. Measured by the number of contributors, Apache Spark remains the most active open source project in the Big Data ecosystem. The Spark team guarantees API stability for all production

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Big Analytics Roundup (April 18, 2016)

In hard news this week, Storm hits a milestone with Release 1.0, Google releases TensorFlow 0.8 with distributed computing support, and DataStax announces DataStax Enterprise Graph. And, following on NVIDIA’s DGX-1 announcement last week there are a number of items on Deep Learning featured below. Deep Learning — Adrian Colyer summarizes a paper that summarizes 900 other papers on Deep Learning. —

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Big Analytics Roundup (January 25, 2016)

This week, we have a new release of Spark-TS, Google’s proposal to create an Apache incubator project for Cloud Dataflow, Forrester’s assessment of Hadoop distributions, a couple of funding stories and a nice crop of explainers. Just a reminder that Spark Summit East is coming up February 16-18.  I’ll be delivering a talk in the Executive track on Spark and the

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Big Analytics Roundup (October 26, 2015)

Fourteen stories this week, beginning with an announcement from IBM.  This week, IBM celebrates 14 straight quarters of declining revenue at its IBM Insight conference, appropriately enough at the Mandalay Bay in Vegas, where the restaurants are overhyped and overpriced. Meanwhile, the first Spark Summit Europe meets in Amsterdam, in the far more interesting setting of the Beurs van Berlage.  There

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