Tag Archives: Qubole

The Year in Machine Learning (Part Two)

This is the second installment in a four-part review of 2016 in machine learning and deep learning. Part One, here, covered general trends. In Part Two, we review the year in open source machine learning and deep learning projects. Parts Three and Four will cover commercial machine learning and deep learning software and services. There are thousands of open source projects

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Big Analytics Roundup (September 19, 2016)

Many thanks to Australia’s Dez Blanchfield for his contributions to this roundup. We set out to create a special “Australia/APAC” edition; however, most of the stories have a global interest: chips are chips and deep learning is deep learning wherever you live. We did find this story, profiling a Tasmanian oyster farm that uses Microsoft’s IoT hub. Well, that’s embarrassing. MapR’s

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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 (March 9, 2015)

Here’s a roundup of interesting Big Analytics news and analysis from the past week.  Featured this week: Hortonworks, Alpine, Spark and H2O. Hortonworks Matt Asay, writing in InfoWorld, deconstructs Hortonworks’ earnings fiasco, and with it the “100% open source” business model. Alpine Data Labs VentureBeat reports a story that Alpine Data Labs claims 10X growth in user count and billings year over year.

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