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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data Paperback – Oct 19 2011

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Product Details

  • Paperback: 176 pages
  • Publisher: McGraw-Hill Osborne Media; 1 edition (Oct. 19 2011)
  • Language: English
  • ISBN-10: 0071790535
  • ISBN-13: 978-0071790536
  • Product Dimensions: 15.2 x 1 x 22.9 cm
  • Shipping Weight: 249 g
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: #728,702 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

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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1 of 1 people found the following review helpful By Heino D on Feb. 18 2013
Format: Paperback Verified Purchase
The book provides a good introduction to the technical aspects of "Big Data", but it could have been done in 100 pages, rather than 140, as 1/4 of each section talks about how IBM beats its competition in each aspect of "big data". It was a quite annoying read for that exact reason. I am somewhat disappointed in IBM for making me pay for this 140 page promotional pamphlet!
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Most Helpful Customer Reviews on (beta) 6 reviews
9 of 10 people found the following review helpful
Understanding and Implementing IBM Solutions for Big Data July 6 2012
By Seth Eliot 🍩 - Published on
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
An IBM Sales Pitch Dec 17 2012
By Harry R. - Published on
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.
Coverage very biased Oct. 7 2014
By R. Price - Published on
Format: Paperback Verified Purchase
A fairly weak coverage of Big Data. Very biased to the IBM point of view. Reading this book, you would think that there is only one solution for Big Data, IBMs
3 of 5 people found the following review helpful
Good overview of IBM big data solutions Jan. 5 2012
By R. Prakash - Published on
Format: Paperback 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.
0 of 1 people found the following review helpful
The future Jan. 1 2013
By Heathery - Published on
Format: Paperback Verified Purchase
Since Big Data is the future, this book really helps understand the scale of upcoming big data. Very well written and great examples. Short read and not overly technical. Great for managers.