Tag Archives: IBM BigInsights

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 (December 21, 2015)

With the holidays approaching, we still have some hard news; plus, some explainers and end of 2015 roundups.  I’ll post my own roundup of 2015 later this week. On the BlueData blog, Anant Chintamaneni delivers an excellent overview of Hadoop virtualization, and the trend toward decoupling compute and storage. (h/t Hadoop Weekly) Quick Hits In InfoWorld, H2O.ai’s Sri Ambati delivers

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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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