Noreen Seebacher

The Daunting Task of Defining Big-Data

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Noreen Seebacher
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Re: the anti-definition
Noreen Seebacher   11/27/2012 10:26:04 AM
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Noreen Seebacher
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Re: the anti-definition
Noreen Seebacher   11/27/2012 10:23:42 AM
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Noreen Seebacher
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Re: the anti-definition
Noreen Seebacher   11/27/2012 10:21:49 AM
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The Definition of Enterprise Big Data

Big Data is emerging from the realms of data science projects to help companies understand exactly, make decisions, and act in real-time to better serve their customers and target markets. The IT techniques and tools to execute big data processing are new, very important and exciting.

Ariella
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Re: the anti-definition
Ariella   11/27/2012 10:21:08 AM
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@Noreen love the crystal ball image! That suggests yet another name for the people who work with big data: see-ers.

Noreen Seebacher
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Re: the anti-definition
Noreen Seebacher   11/27/2012 10:19:29 AM
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Noreen Seebacher
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Re: the anti-definition
Noreen Seebacher   11/27/2012 10:16:46 AM
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Noreen Seebacher
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Re: the anti-definition
Noreen Seebacher   11/27/2012 10:16:07 AM
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Ariella
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Re: the anti-definition
Ariella   11/19/2012 11:15:07 AM
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@philsimon That's a good way to put it. I've seen other articles that identify "big data" as that which is not yet set for use, whether you call it structured or "cleaned," as suggested in Big v. Small Data – Why Marketers Today Need to Know the Difference

DukeGanote
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Re: lotta data -- 120 Years of the New Frontier
DukeGanote   11/18/2012 6:57:30 AM
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"Big data" started at least 120 years ago-- even if the buzzword is more recent. Vincent McBurney wrote a superb blog entry about "big data", which I highlighted in my own here:

http://it.toolbox.com/blogs/data-ruminations/a-short-history-of-big-data-the-new-frontier-53878





scorellis
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Re: lotta data
scorellis   11/18/2012 2:24:30 AM
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We have spent the past yeart trying to define "big data."  In the end, it comes down to a couple of things.  A) people like to think they have big data, even when they don't.  Here is why I say this.  If you have a 32 GB 8 core SQL server and you have a database table with 250 GB of data in it. yeah, you might think you have big data.  If you have 900 GB of data, and 512 GB of RAM on your database server, you might think you have "big data." No, you don't,  B) If you have a 6TB table of data in your DB, and you have 2 TB of RAM, and you think you have big data, YES. YOU DO.  Well, at least according to my definition...my definition, constrained by current techological limitations, goes like this: If you have to make a call to disk for data, and the amount of time it takes to return that data to your users exceeds the amount of time that users are willing to accept, AND the ONLY WAY to alleviate this issue is to increase your bandwidth to disk because you have ALREADY MAX'D out the technologically available amount of RAM within which the database could reside, then you have "BIG DATA."   I hope this clarifies things. My team deals with this on a daily basis from some rather gigantic companies with rather large amounts of corpuscular data.  By "corpuscular," I mean single, extremely large chunks of data that can not be fragmented across multiple systems and MUST be treated symptomatically.  That is, the data is interrelated, and the users seek to examine it as a whole, and not as discrete entities. I really could go on and on about this....

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