Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (Paul Zikopoulos, et al)

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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (Paul Zikopoulos, et al)

Big Data heralds a new age in data discovery and use, and IBM is ideally situated to assist clients in navigating this change. This book explains how IBM is utilizing open source Big Data technology combined with IBM technologies to provide a reliable, secure, and highly available big data platform for businesses.

The three distinguishing traits of Big Data—volume, variety, and velocity—are covered in this book. You'll discover the basics of Hadoop, how IBM is securing it for use in businesses, and when to use the IBM InfoSphere BigInsights (for big data that is at rest) and IBM InfoSphere Streams (for big data that is in motion) technologies. This useful guide also includes deployment and scaling methodologies as well as examples from the business world.

  • Understand the characteristics of Big Data
  • Learn about data at rest analytics
  • Learn about data in motion analytics
  • Get a quick Hadoop primer

Ebook Details

About the Authors
IBM's DB2 Sales Support team is led by Database Specialist Paul C. Zikopoulos (Toronto, Canada). He has penned numerous books and magazine articles regarding DB2. He most recently co-authored the books DB2 for Dummies and A DBA's Guide to Databases on Linux (Syngress Media) (IDG Books).
Published Date / Year
1 edition (October 19, 2011); eBook: IBM Corporation (2012)
176 pages
eBook Format
PDF (166 pages, 3.38 MB)

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