We just finished the second day of Hadoop Summit 2012. By all accounts it was a commercial success. It continued the trend of “even bigger than last year” by a growth rate that would make any bean counter blush. Over 2200 attendees reported this year and about half that many in 2011. This was the second major Hadoop conference in a row where the local fire marshal was cited as the reason popular sessions couldn’t be expanded. For me, the most striking change was the shift in discussion of Hadoop as infrastructure (and the community, projects, and roadmap to advance …
Everywhere you look today, ‘big data’ is a hot topic. Articles in the media conjure up images of data scientists with PhDs in stats and physics deftly navigating petabytes of data to decipher meaning and insight. Companies of all stripes are pivoting their marketing to embrace the big data moniker. And key enabling technologies such as Hadoop are moving from the lab to mainstream adoption in record time. THE ‘BIG DATA’ SHIFT “Big Data analysis is usually iterative: you ask one question or examine one data set, then think of more questions or decide to look at more data. That’s …
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