Harness the Power of Big Data The IBM Big Data Platform

Zikopoulos, Paul

ISBN 10: 0071808175 / ISBN 13: 9780071808170

Published by McGraw Hill, 2012

About this Item

Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing and/or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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Bibliographic Details

• Title: Harness the Power of Big Data The IBM Big Data Platform
• Publisher: McGraw Hill
• Publication Date: 2012
• Language: English
• ISBN 10: 0071808175
• ISBN 13: 9780071808170
• Binding: paperback
• Edition: 1st Edition.
• Condition: Good

About this title

Synopsis

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

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.

About the Author

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide