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Big Data: Avoid ‘Wanna V’ Confusion | Big Data

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Contrary to Mark van Rijmenam’s article advocating to extend the Big Data definition discussion to include veracity, variability, visualization and value, Seth Grimes counters that the original 3Vs, while not perfect, work well and that the drive to ‘wanna-V’ is rooted in division and spin.

Big Data: Avoid ‘Wanna V’ Confusion | Big Data

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A More Thoughtful but No More Convincing View of Big Data

(via Instapaper)

I have a problem with Big Data. As someone who makes his living working with data and helping others do the same as effectively as possible, my objection doesn’t stem from a problem with data itself, but instead from the misleading claims that people often make about data when they refer to it as Big Data. I have frequently described Big Data as nothing more than a marketing campaign cooked up by companies that sell information technologies either directly (software and hardware vendors) or indirectly (analyst groups such as Gartner and Forrester).

There a lot here that I agree with….

A More Thoughtful but No More Convincing View of Big Data