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Big Data Beyond the Hype: A Guide to Conversations for Today's Data Center, by Paul Zikopoulos, Dirk deRoos, Christopher Bienko, Marc Andr
Download Big Data Beyond the Hype: A Guide to Conversations for Today's Data Center, by Paul Zikopoulos, Dirk deRoos, Christopher Bienko, Marc Andr
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- Sales Rank: #3079578 in Books
- Published on: 2014-11-01
- Original language: English
- Dimensions: 8.90" h x .79" w x 5.98" l, 1.17 pounds
- Binding: Paperback
- 392 pages
About the Author
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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Big Data the IBM way
By Peter
This book would have been better titled: Big Data the IBM way.There is some useful information in here, especially if you are an IBM shop. But if you want to understand Big Data without the IBM hype, this is not the book for you.
The writing style includes some classic marketing buzz: "It's available in the IBM cloud as well; Hadoop cluster, yup; SQL data store, yup - you get the point" - and that's just in chapter 1.
The concepts of big data are explained with pictures, tables, some sample code, screenshots and architectural schematics that you sometimes see in Powerpoint presentations. This helps the text, but the writing style lacks simplicity. For example, some topics are introduced in wordy text with a subsequent sentence saying something like: "we refer to this concept as xyz" where xyz is italicized. A bolder approach would have been to say "xyz is the concept of ...", alerting the reader to something important up front, rather than make them go back to the preceding paragraph and re-read to get the significance of the new concept.
Because it is written by IBMers, the examples of Big Data implementations and how it works all come from IBM, so if you wanted to understand how other IT vendors do it, or even get a vendor neutral descriptions of Big Data, you won't find it here.
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