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July 08, 2013



Interesting piece. Unfortunately however it perpetuates the notion that Big Data is only about *size* whereas it's now well-acknowledged that Big Data is about the increasing speed and range of data sources available. This is what Gartner originally characterised over a dozen years ago as the "3Vs" of volume, velocity and variety in a piece I authored (ref: http://goo.gl/wH3qG).

Also, let's all be careful about referring to Big Data a "technology." Yes there are technologies oriented toward acquiring, administering and applying Big Data, but Big Data itself is not a technology. Big data are information assets with the aforementioned qualities.

And while I'd agree that the "why" is as or more important than the "what" when it comes to correlation vs causality, the granularity and range of Big Data sources actually helps get to "why" better than using samples or singular data sets. Most of the nearly 100 real-world examples I have compiled go beyond what we call descriptive (what) or diagnostic (why) use cases into the higher-value realm of predictive (what next) and prescriptive (how) solutions. (Note I'll be sharing these examples at the upcoming Gartner Symposium).

Finally, regarding the Gartner branded Hype Cycle, it's important to go beyond the graphic to read and understand the methods, details and accompanying advice that Gartner issues along with them. The HC graphics alone are informative, but not prescriptive.

Doug Laney, VP Research, Gartner, @doug_laney

Jonathan Weavers

Hey -

Your last post [Big Data Takes Center Stage] was freaking awesome. I have gone ahead and added your stuff to my Feedly account. Please keep me updated if you post anywhere else.

Keep rocking –

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