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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Catching up from vacation last week. Top stories: results of a SQL-on-Hadoop evaluation at Pearson; Google launches Dataflow (giving Flink a boost); while IBM shoehorns Spark onto a mainframe, Vertica gets the jump on IBM PureData with native Spark integration. Kaggle announces two new competitions: Springleaf Financial, an Indiana credit union founded in 1920, has rebranded to target millenials. They
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Lots of news this week, to compensate for last week’s lame haul. In an excellent post on O’Reilly Radar, Ben Lorica surveys the landscape of workbooks, notebooks and workflow tools, which he categorizes by user persona. On GitHub, a collection of links for streaming analytics (h/t O’Reilly Data). In a “twofer”, VentureBeat plugs its GrowthBeat Summit and a report on
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ML/AI 