Tag Archives: Apache Storm

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 (March 21, 2016)

Minimal hard news this week, but some interesting survey results, analysis, articles, explainers and perspectives. — On his personal blog, Will Kurt describes Bayesian reasoning in the Twilight Zone. I tried to learn Bayesian reasoning a few years ago, but it conflicted with my prior beliefs. — Stack Overflow shares results from its 2016 Developer Survey. (h/t Thomas Ott) Key bits:

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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 (October 19, 2015)

Ten stories this week.  Don’t miss story #10, which recaps an analysis of collaboration and influence in the U.S.Congress using open source graph engines and a rich database of legislation. (1) Rexer: R Continues to Lead Rexer Analytics has released preliminary results from its 2015 survey of working analysts; Bob Muenchin reports.  One interesting snippet — reported tool use, as

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Apache Spark for Big Analytics (Updated for Spark Summit and Release 1.0.1)

Updated and bumped July 10, 2014. For a powerpoint version on Slideshare, go here. Introduction Apache Spark is an open source distributed computing framework for advanced analytics in Hadoop.  Originally developed as a research project at UC Berkeley’s AMPLab, the project achieved incubator status in Apache in June 2013 and top-level status in February 2014.  According to one analyst, Apache Spark is among the five

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