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

In this book, the three defining characteristics of Big Data — volume, variety, and velocity, are discussed. You’ll get a primer on Hadoop and how IBM is ‘hardening’ it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Deployment and scaling strategies plus industry use cases are also included in this practical guide.

    Understand the characteristics of Big Data
    Learn about data at rest analytics
    Learn about data in motion analytics
    Get a quick Hadoop primer
    Learn about IBM InfoSphere BigInsights, and IBM InfoSphere Streams

Title Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Author(s) Paul Zikopoulos, Chris Eaton, Dirk DeRoos, Tom Deutsch, George Lapis
Publisher: McGraw-Hill Osborne Media; 1 edition (October 19, 2011); eBook: IBM Corporation (2012)
Hardcover/Paperback 176 pages
Language: English
ISBN-10: 0071790535
ISBN-13: 978-0071790536
eBook: https://www.ibm.com/developerworks/community/wikis