Understanding Big Data: Analytics for Enterprise Class Ha... and over one million other books are available for Amazon Kindle. Learn more

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

6 customer reviews
ISBN-13: 978-0071790536
ISBN-10: 0071790535
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell? Sell on Amazon
More Buying Choices
9 New from $19.03 22 Used from $0.93
Amazon Price New from Used from
Kindle
"Please retry"
Paperback, October 19, 2011
"Please retry"
$19.03 $0.93

There is a newer edition of this item:

Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student


InterDesign Brand Store Awareness Rent Textbooks

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
NO_CONTENT_IN_FEATURE


Best Books of the Month
Best Books of the Month
Want to know our Editors' picks for the best books of the month? Browse Best Books of the Month, featuring our favorite new books in more than a dozen categories.

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: #971,138 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

9 of 10 people found the following review helpful 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.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
4 of 4 people found the following review helpful By Harry R. on December 17, 2012
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.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
By R. Price on October 7, 2014
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
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again

What Other Items Do Customers Buy After Viewing This Item?

Want to discover more products? Check out these pages to see more: data mining, data modeling, database design