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Why Big Is Bad When It Comes To Data
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Doug Laney
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Doug Laney,
User Rank: Apprentice
8/20/2012 | 5:07:32 AM
re: Why Big Is Bad When It Comes To Data
Thanks for the citation Patrick. Great piece. For your readers interested in the original piece first mentioning the "3Vs" from over 11 years ago I have been able to unearth and post it on my Gartner blog: http://blogs.gartner.com/doug-.... Enjoy. Note that Gartner has also updated its definition of Big Data to incorporate a few new critical concepts such as the need for new, innovative forms of processing, and representative use cases. --Doug Laney, VP Research, Gartner, @doug_laney
Postgrad
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Postgrad,
User Rank: Apprentice
8/16/2012 | 8:57:36 PM
re: Why Big Is Bad When It Comes To Data
Actually, I think we almost called it "Cloud...the sequel". This article hits the nail on the head on so many levels. At SAS, we've seen that alot of companies canG«÷t take full advantage of "big data" because, as you mention, the term has become all encompassing and so broad that no one knows what it is. We recently launched an informational page about G«£big dataG«• that mays shed some light on what the term now means in the analytics industry. The page provides information on G«£What big data actually meansG«• with definitions, customer examples, etc. Really, we're trying to provide basic information relevant to those who are just starting to research big data. If youG«÷re interested, check it out at http://www.sas.com/big-data
Nadhan
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Nadhan,
User Rank: Apprentice
7/30/2012 | 10:45:43 PM
re: Why Big Is Bad When It Comes To Data
Hello, Patrick. This is E.G.Nadhan, Distinguished Technologist, HP Enterprise Services.

Thank you for providing an insightful perspective on the challenges of using the term Big Data and the inherent risks involved with its multi-faceted interpretations.

I also like your suggestion about "gushing data" being a more representative term -- both from its underlying meaning as well as the way it sounds when you just say the word - gushing!

However, your article got me thinking about the reasons why the term has caught on and is spreading like wild fire. In this post, I have outlined my thoughts on the five different reasons why this is so - http://bit.ly/QrPn73.

Please check out my post http://bit.ly/QrPn73 at your convenience and let me know what you think.

Twitter: @NadhanAtHP
gwhite
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gwhite,
User Rank: Apprentice
7/20/2012 | 5:58:44 PM
re: Why Big Is Bad When It Comes To Data
Good piece. I have seen a 4th "V" that adds to the description/discussion of Big (or maybe Swarming Data?) Data: Value. Understanding when data will not be useful anymore and can be deleted will become more and more important. What to keep, for how long, and where to put it are topics I haven't seen covered really in the big data hype cycle.


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