Cloudera and Hortonworks just announced a merger. You ask: how does the merger affect the machine learning marketplace? My answer: not at all. Neither Cloudera nor Hortonworks competes in machine learning. Yes, I’m aware. Cloudera and Hortonworks see themselves as part of the machine learning value chain. You can’t do machine learning without data. You need a few other things, too. But
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In the second quarter of 2015, Hortonworks lost $1.38 for every dollar of revenue. In the second quarter of 2016, HDP lost $1.46 for every dollar of revenue. So I guess they aren’t making it up on volume. On the Databricks blog, Jules Damji summarizes Spark news from the past two weeks. AWS Launches Kinesis Analytics Amazon Web Services announces the availability
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Quite a few open source announcements this week. One of the most interesting is Apache Bahir, which includes a number of bits spun out from Apache Spark. It’s another indicator of the size and strength of Spark, in case anyone needs a reminder. In other news, Altiscale and H2O.ai concurrently develop time travel: both vendors claim to support Spark 2.0,
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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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Hortonworks wins the internet this week beating the drum for its partnership with Hewlett-Packard Enterprise. The story is down under “Commercial Announcements,” just above the story about Hortonworks’ shareholder lawsuit. Google releases a distributed version of TensorFlow, and HDP releases a new version of Dataflow. We are reaching peak flow. IBM demonstrates its core values. Folks who fret about cloud security
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We have a nice harvest of explainers this week, plus eight hard news stories: Gartner Updates Advanced Analytics MQ DataRobot Lands Cash MapR and Hortonworks Report Robust Revenue StreamAnalytix Adds Spark Support BlueData Announces Something Looker Delivers SQL on Hadoop New RStudio Release New Anaconda Release R has a new logo. On the Databricks blog, Tim Hunter and Joseph Bradley announce
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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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The main news this week is Microsoft’s rebranding and packaging of the software it acquired last year when it purchased Revolution Analytics. Also in the news: MapR offers some oddly packaged software for Test Drive on AWS, and Yahoo dumps some data. Plus, we have a few quick hits and a nice crop of explainers. Quick Hits Andrew Brust speculates
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Every year around this time I review last year’s forecast and publish some thoughts about the coming year. 2015 Assessment First, a brief review of my predictions for 2015: (1) Apache Spark usage will explode. Nailed it. (2) Analytics in the cloud will take off. In 2015, all of the leading cloud platforms — AWS, Azure, IBM and Google — released new tools
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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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ML/AI 