Re: [ontolog-forum] FW: Looking to the Future of Data Science - NYTimes.

[John Bottoms <john@xxxxxxxxxxxxxxxxxxxx>]

On 8/30/2014 8:04 PM, Philip Jackson wrote:

David,
 
If Big Data is data that cannot be (efficiently) processed using current technologies, then how is it that some people claim to be processing Big Data? Does ISO intend to say that Big Data can at best be processed inefficiently with current technologies?
 
Perhaps a better ISO definition would be: Data that is at or beyond the limits of efficient processing by current technologies.

A good bit of my work since the '70's fits that description. We always are up against resource limits. What's next Big CPU Cycles? Oh, we've already got that with the cloud. What else can you give me?

-John Bottoms
 FirstStar Systems
 Concord, MA USA

 
Phil
 

---

From: dprice@xxxxxxxxxxxxxxx
Date: Sat, 30 Aug 2014 19:42:37 +0100
To: ontolog-forum@xxxxxxxxxxxxxxxx
Subject: Re: [ontolog-forum] FW: Looking to the Future of Data Science - NYTimes.com - 2014.08.27

On 30 Aug 2014, at 18:35, Kingsley Idehen <kidehen@xxxxxxxxxxxxxx> wrote:

When one accesses Big Data for some purpose, what has one really accessed? 

Data distorted by qualification using a meaningless buzz-phrase 

According the ISO task force [1] trying to make sense of big data a draft definition is:

Big Data: a data set(s) with characteristics that for a particular problem domain at a given point in time cannot be efficiently processed using current/existing/established/traditional technologies and techniques in order to extract value

You may not agree with the text of that particular definition, but it is not simply a buzzword. Established technologies have their limits, and "big data" is what organizations are creating that has "broken" those technologies causing them to try to find alternatives to them. As with anything new and in the media, there will be hangers-on who pervert the original intent (e.g. the RDBMS vendors now claiming they are big data too). However, the fact that some organizations try to take advantage of a problem for their own purposes does not mean the problem does not exist.

FWIW That same definition also includes the text:

[Editor’s Note on June 2014]: there is a concern about the Big Data definition is too narrow within the dataset(s) concept; it is more a paradigm shift of technology changes. Contributions are invited.

Perhaps a few of you might want to take them up on their invitation.

Cheers,

David

[1] http://jtc1bigdatasg.nist.gov/home.php

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US +1 336 283 0606

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