Understanding Big Data - Analytics for Enterprise Class Hadoop and Streaming Data

Understanding Big Data - Analytics for Enterprise Class Hadoop and Streaming Data

This book helps you get quickly up to speed on big data and to show you the unique things IBM is doing to turn the freely available open source big data technology into a big data platform.

Tag(s): Big Data

Publication date: 19 Oct 2011

ISBN-10: n/a

ISBN-13: n/a

Paperback: 166 pages

Views: 4,332

Type: N/A

Publisher: McGraw-Hill

License: n/a

Post time: 24 Dec 2015 12:13:10

Understanding Big Data - Analytics for Enterprise Class Hadoop and Streaming Data

Understanding Big Data - Analytics for Enterprise Class Hadoop and Streaming Data This book helps you get quickly up to speed on big data and to show you the unique things IBM is doing to turn the freely available open source big data technology into a big data platform.
Tag(s): Big Data
Publication date: 19 Oct 2011
ISBN-10: n/a
ISBN-13: n/a
Paperback: 166 pages
Views: 4,332
Document Type: N/A
Publisher: McGraw-Hill
License: n/a
Post time: 24 Dec 2015 12:13:10
Excerpts from the Book:
Steven Sit wrote:Big data is going to change the way you do things in the future, how you gain insight, and make decisions (the change isn’t going to be a replacement, rather a synergy and extension). This book to help you get quickly up to speed on this technology and to show you the unique things IBM is doing to turn the freely available open source big data technology into a big data platform; there’s a major difference and the platform is comprised of leveraging the open source technologies (and never forking it) and marrying that to enterprise capabilities provided by a technology leader that understands the benefits a platform can provide.

By the time you are done reading this book, you’ll have a good handle on the big data opportunity that lies ahead, a better understanding on the requirements that ensures you have the right big data platform (as opposed to just technology), and have a strong foundational knowledge as to the business opportunities that lie ahead with big data and some of the technologies available




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Dirk deRoos

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Thomas Deutsch

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Chris Eaton

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George Lapis

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Paul C. Zikopoulos

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