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Big data is not little data writ large -- it changes everything

Make no mistake, big data is not small data on steroids, warns SearchCIO expert Harvey Koeppel. Big data changes how we live, work and play.

The origins of confusion …

The real challenge with big data is that it is called big data. The nomenclature (thanks, marketing!) stimulates a reflexive response -- an almost instantaneous, emotional and physiological need to compare the target term big data with its seemingly diminutive predecessor, simply data -- or, as I now like to call it, little data.

I would suggest that we are talking about apples and oranges here (i.e., things that are so different that they should not be compared); however, based on an article appearing in the British Medical Journal in 2000 (Comparing apples and oranges: A randomised prospective study, by James E. Barone), apples and oranges are apparently more similar than they are different, so we can't use that metaphor here, or perhaps anywhere, as we might have before.

What? An information technology industry that no longer uses apples and oranges as the benchmark for erroneous comparison and evaluation? Heresy, I say! What will be next -- banning the use of the term green screen? What about blue screen? BTW, try asking your teenage children if they would like to watch color TV. OMG, be prepared to feel very old. LMAO!

Semantic tomfoolery aside, thinking about big data as a bigger version of little data puts us at a significant disadvantage when it comes to understanding what it is; how it can be harnessed; and the enormous value that it has created already and will continue to create with respect to how we live, work and play.

The road to enlightenment …

To put all of this into a perspective that is both understandable and actionable, it is helpful to consider how and why big data is so much more than simply more data.

Zen and big data

The differences highlighted above are by no means intended to be exhaustive but rather, illustrative. In looking at these examples, it starts to become more evident why big data is not just about adding more storage capacity to your data center and/or increasing the bandwidth of your network. And we have only scratched the surface.

Understanding the real impact of big data requires additional context from looking at the other technologies that have grown up and will continue to grow up alongside it:

Go to part two of Harvey's CIO Matters column to understand how the game-changing aspects of big data are inextricably linked to the nine disruptive technologies listed above.

Let me know what you think. Post a comment or drop me a note at hrkoeppel@aol.com. Discuss, debate or even argue -- let's continue the conversation.

This was last published in March 2014

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Essential Guide

Big data tutorial: Everything you need to know

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Is SearchCIO expert Harvey Koeppel correct that big data changes everything? Give us your thoughts on how big data might change how we live, work and play.
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I think the Internet of Things is poised to become the 'biggest' application of big data to our daily lives. The companies that figure out how to act upon the continuously available data that many of our devices (refrigerators, cars, etc.) will be sending to improve our efficiency, safety and enjoyment -- and do it ethically -- will be those that have the most success. 
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i am registeredo on <SCOOP.IT as Artistic and Telecommunications Sales and I receive everfy week some news about my two jobs. I think that it is <an application of big data.
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severino - what information did you provide to Scoop.it so that they could provide you with information? And how relevant do you find it? 
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Great article highlighting how different everything is about big data - but I disagree with you on a couple of key points based on what I'm seeing in the markets I participate in.
Most of my customers are using big data to do real time analysis of events (which can be natural, e.g. weather, ecology etc.) or human-created (based on new learning, or a human-caused disaster). But these new events cannot be understood in the the present WITHOUT the context of what's happened in the past. And so while I agree with your positioning of 'big data' is being reactive to the present (rather than a forward looking exercise, like traditional data warehousing), I am not seeing a world where the CURRENT data is all that matters. In fact 'big data' is causing my customers to store more data - forever.
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