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

by Paul Zikopoulos

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.

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. Industry use cases are also included in this practical guide.

215 pages, Kindle Edition

First published November 11, 2011

Reviews

[Bernd · Rating 2 out of 5]

Two stars for insight into IBMs admittedly leading big-data strategy, but no more due to the excessive promotional approach of this "book". White paper material like this should be free.

[Jean-François · Rating 2 out of 5]

in this book, Hadoop is just a pretext to glorify IBM. Only a few code excerpts but endless examples of IBM's greatness. If you want an intro to Hadoop, this is not a book for you.