Tag Archives: Azure Machine Learning

Big Analytics Roundup (May 23, 2016)

Google announces that it has designed an application-specific integrated circuit (ASIC) expressly for deep neural nets. Tech press goes bananas. The chips, branded Tensor Processing Units (TPUs) require fewer transistors per operation, so Google can fit more operations per second into the chip. In about a year of operation, Google has achieved an order of magnitude improvement in performance per watt for

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Big Analytics Roundup (March 14, 2016)

HPE wins the internet this week by announcing the re-re-release of Haven, this time on Azure.  The other big story this week: Flink announces Release 1.0. Third Time’s a Charm Hewlett Packard Enterprise (HPE) announces Haven on Demand on Microsoft Azure; PR firestorm ensues.  Haven  is a loose bundle of software assets salvaged from the train wreck of Autonomy, Vertica, ArcSight

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2015 in Big Analytics

Looking back at 2015, a few stories stand out: Steady progress for Spark, punctuated by two big announcements. Solid growth in cloud-based machine learning, led by Microsoft. Expanding options for SQL and OLAP on Hadoop. In 2015, the most widely read post on this blog was Spark is Too Big to Fail, published in April.  I wrote this post in

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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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