Tag Archives: Cloud

Big Analytics Roundup (April 11, 2016)

Top story of the week is NVIDIA’s new DGX-1 deep learning chip; scroll down for more on that. We have three roundups from Strata + Hadoop World, Rashomon style: Alex Woodie reports six takeaways: Kafka, Spark, Hadoop, Cloud, machine learning, mainframes. Jessica Davis recalls four things: comedian Paula Poundstone, MapR, public data sets, AI. Nik Rouda recaps five things: Spark, machine learning,

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Big Analytics Roundup (June 29, 2015)

The Sparkalanche continues; plus we have new releases from Flink and H2O.  And, in case you thought Spark was the last word in Big Analytics, well, think again: here comes Splash, from AMPLab. In the Wall Street Journal’s Saturday Essay, Sean Parker calls for philanthropists to focus on “hackable problems,” a message that should resonate with data scientists.  (Link may require registration.) On

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Automated Predictive Modeling

A colleague asks: can we automate predictive modeling? How we answer the question depends on the context.   Consider the two variations on the question below, with more precise wording: Can we completely eliminate the need for expertise in predictive modeling — so that an “ordinary business user” can do it? Can we make expert analysts more productive by automating

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SAS Global Forum Link-O-Rama

Google Alerts firing all day like an Uzi.  Quick summary. Cloudera hearts SAS.  Cloudera announced a “strategic alliance” with SAS today at SAS Global Forum.    According to the announcement, Customers are now empowered to quickly and easily analyze their data in Hadoop by connecting SAS directly to their Cloudera-powered Big Data repositories. Customers were also so empowered last year

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Quick News Hits

With SAS Global Forum coming up next week, I expect my Google Tracker to start pinging as SAS’ PR team gets to work.  In the meantime, a few news hits. KXEN sells something.  Hooray!  You know you’re in trouble when somebody buys your product and it’s news.  While the folks at KXEN celebrate a win, I must note that their

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