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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data 1st Edition

2.7 out of 5 stars 6 customer reviews
ISBN-13: 978-0071790536
ISBN-10: 0071790535
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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
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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: 2.7 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,671,733 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By Seth Eliot 🍩 VINE VOICE on July 6, 2012
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.
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Format: Paperback 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.
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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.
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