Tag Archives: MapR

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 (December 14, 2015)

Quite a bit of hard news this week — nine stories, including software releases from Hortonworks and Confluent, a milestone for Apache Kylin, and three funding stories.  Plus, a number of items “above the news.”  Let’s get to it. Risk Management on Spark The growing number of applications that run on Spark show the platform is maturing.  ThinkReactive, a consultancy

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Big Analytics Roundup (November 9, 2015)

My roundup of the Spark Summit Europe is here. Two important events this week: H2O World starts today and runs through Wednesday at the Computer History Museum in Mountain View CA.   Yotam Levy summarizes here and here. Open Data Science Conference meets November 14-15 at the Marriott Waterfront in SFO Five backgrounders and explainers: At HUG London, Apache’s Ufuk Celebi

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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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Big Analytics Roundup (September 28, 2015)

Strata+Hadoop World NYC is upon us.  Andrew Brust opines that there will be three themes at Strata this year: (1) Spark “versus” Hadoop; (2) streaming goes mainstream; (3) data governance matters.  My take: “Spark versus Hadoop” is controversy for the sake of people who like controversy.  Spark works with Hadoop, and Spark works with other platforms, or by itself.  Use

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