Tag Archives: Spark Summit East

Big Analytics Roundup (March 7, 2016)

Hortonworks wins the internet this week beating the drum for its partnership with Hewlett-Packard Enterprise.  The story is down under “Commercial Announcements,” just above the story about Hortonworks’ shareholder lawsuit. Google releases a distributed version of TensorFlow, and HDP releases a new version of Dataflow.  We are reaching peak flow. IBM demonstrates its core values. Folks who fret about cloud security

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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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Spark is Too Big to Fail

Reacting to growing interest in Apache Spark, there is a developing contrarian meme: David Ramel asks: are Spark and Hadoop friends or foes? Jack Vaughan compares Spark to the PDP-11, dismisses it as “just processing.” Doug Henschen praises Spark, pans Databricks Nicole Laskowski complains that Spark Summit East “felt like a Databricks show.” Andrew Oliver thinks Spark needs to grow up Andrew

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Big Analytics Roundup (April 6, 2015)

Late posting today due to holiday travel. In the week following Spark Summit East, a number of Spark skeptics surfaced, a sign that people take Spark seriously. The top item of the week, though, is Tiernan Ray’s interview with Michael Stonebraker in Barrons, a must-read. Analytic Software Forrester published its latest “wave” for Big Data Predictive Analytics Solutions, an inaptly

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