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Free Download Library
Title Big Data Primer
Author IBM
Description

What Is Big Data? Hint:
You're a Part of It Every Day


Where should we start a book on Big Data? How about with a definition,because the term "Big Data" is a bit of a misnomer since it implies that preexisting data is somehow small (it isn't) or that the only challenge is its sheer size (size is one of them, but there are often more). In short, the term Big Data applies to information that can't be processed or analyzed using traditional processes or tools.

Increasingly, organizations today are facing more and more Big Data challenges. They have access to a wealth of information, but they don't know how to get value out of it because it is sitting in its most raw form or in a semistructured or unstructured format; and as a result, they don't even know whether it's worth keeping (or even able to keep it for that matter).

An IBM survey found that over half of the business leaders today realize they don't have access to the insights they need to do their jobs. Companies are facing these challenges in a climate where they have the ability to store anything and they are generating data like never before in history; combined, this presents a real information challenge. It's a conundrum: today's business has more access to potential insight than ever before, yet as this potential gold mine of data piles up, the percentage of data the business can process is going down-fast. We feel that before we can talk about all the great things you can do with Big Data, and how IBM has a unique end-to-end platform that we believe will make you moresuccessful, we need to talk about the characteristics of Big Data and how it fits into the current information management landscape.

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File Data size: 3627175 bytes | date: 5/4/2013 11:39:18 AM
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