Tag Archives: Apache Phoenix

Big Analytics Roundup (August 22, 2016)

MIT Technology Review reports that Chicago’s experiment in predictive policing isn’t working. Data scientists developed a list of a few hundred people likely to commit a shooting; police, however, ignored the predictions, primarily because nobody told them what to do with individuals on the list. The report illustrates a fundamental truth about data science: no amount of insight matters unless your

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Big Analytics Roundup (March 21, 2016)

Minimal hard news this week, but some interesting survey results, analysis, articles, explainers and perspectives. — On his personal blog, Will Kurt describes Bayesian reasoning in the Twilight Zone. I tried to learn Bayesian reasoning a few years ago, but it conflicted with my prior beliefs. — Stack Overflow shares results from its 2016 Developer Survey. (h/t Thomas Ott) Key bits:

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Big Analytics Roundup (May 11, 2015)

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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