Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data [Paperback]

IBM, Paul Zikopoulos (Author), Chris Eaton (Author), Paul Zikopoulos (Author)

Book Description

Publication Date: October 19, 2011 | ISBN-10: 0071790535 | ISBN-13: 978-0071790536 | Edition: 1

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.

• Learn how IBM hardens Hadoop for enterprise-class scalability and reliability
• Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform
• Learn tips and tricks for Big Data use cases and solutions
• Get a quick Hadoop primer

Editorial Reviews

About the Author

Paul C. Zikopoulos (Toronto, Canada) is a Database Specialist with the DB2 Sales Support team at IBM. He has written numerous magazine articles and books about DB2. Most recently, he co-authored the books A DBA's Guide to Databases on Linux (Syngress Media) and DB2 for Dummies (IDG Books). Zikopoulos is a DB2 Certified Advanced Technical Expert (DRDA and Cluster/EEE) and a DB2 Certified Solutions Expert (Business Intelligence and Database Administration).

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

Product Details

• Paperback: 176 pages
• Publisher: McGraw-Hill Osborne Media; 1 edition (October 19, 2011)
• Language: English
• ISBN-10: 0071790535
• ISBN-13: 978-0071790536
• Product Dimensions: 6 x 0.4 x 9 inches
• Shipping Weight: 8.8 ounces
• Average Customer Review: 2.8 out of 5 stars  See all reviews (5 customer reviews)
• Amazon Best Sellers Rank: #493,568 in Books (See Top 100 in Books)
  • #27 in Books > Computers & Technology > Networking > Data in the Enterprise > Electronic Data Interchange (EDI)

Most Helpful Customer Reviews

9 of 10 people found the following review helpful

3.0 out of 5 stars Understanding and Implementing IBM Solutions for Big Data July 6, 2012

By Seth Eliot VINE™ VOICE

Format:Paperback

Is the title of this book were "Understanding and Implementing IBM Solutions for Big Data", then I would see it is a well-written and informative book worthy of 4 stars. Its current title obscures the fact that this book is all about IBM technologies like InforSphere BigInsights. Sure you can also learn about Big Data in general, as well as about Hadoop, but it is all in the context of the IBM solution, so it is not the most effective means to learn those topics if that is your goal. I am subtracting 1 star for this issue, resulting in 3 stars.

4 of 4 people found the following review helpful

2.0 out of 5 stars An IBM Sales Pitch December 17, 2012

By Harry R.

Format:Paperback|Amazon Verified Purchase

This book has some good information on the need for big data analytics and a high-level description of Hadoop and the Hadoop ecosystem. But half of the chapters are devoted to IBM's Hadoop offering and the other chapters are filled with reasons that the IBM solution should be considered.

If you are looking for a book that will point you toward an IBM solution, this is a good one. If you want to avoid heavy-handed sales pitches and learn about the technologies then look somewhere else.

3 of 5 people found the following review helpful

4.0 out of 5 stars Good overview of IBM big data solutions January 5, 2012

By R. Prakash

Format:Paperback|Amazon Verified Purchase

This is a well written book by IBM in a nice compact form factor. It focuses on promoting IBM big data products like InfoSphere BigInsights (IBM's answer to Cloudera), InfoSphere streams (IBM's answer to CEP vendors) for stream computing as well as IBM professional services. It appears biased against roll-your-own with Apache Hadoop on commodity servers.. Time will tell whether IBM and BigInsights will win against Cloudera and others with Hadoop installers and PS.