Harness the Power of Big Data The IBM Big Data Platform

Harness the Power of Big Data The IBM Big Data Platform

EnglishPaperback / softback
Zikopoulos Paul
McGraw-Hill Education - Europe
EAN: 9780071808170
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Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities

Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game."

The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery.

In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.

EAN 9780071808170
ISBN 0071808175
Binding Paperback / softback
Publisher McGraw-Hill Education - Europe
Publication date November 16, 2012
Pages 280
Language English
Dimensions 229 x 155 x 15
Country United States
Readership Professional & Scholarly
Authors Corrigan David; deRoos Dirk; Deutsch, Thomas; Giles, James; Parasuraman Krishnan; Zikopoulos Paul
Illustrations 24 Illustrations, unspecified