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Big Data Now: Current Perspectives from O'Reilly Radar Kindle Edition

4.7 out of 5 stars 3 customer reviews

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Product details

  • Format: Kindle Edition
  • File Size: 3287 KB
  • Print Length: 149 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (30 Aug. 2011)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B005KDPILI
  • Text-to-Speech: Enabled
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  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 4.7 out of 5 stars 3 customer reviews
  • Amazon Bestsellers Rank: #17,722 Free in Kindle Store (See Top 100 Free in Kindle Store)
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Format: Kindle Edition Verified Purchase
Read it in five minutes. Seemed like a quick presentation of reasonable ideas, but a week later I can't remember any points it made. It might be a CRAFT effect of my old age, but I suspect it didn't exactly set the heather alight!
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Format: Kindle Edition Verified Purchase
This book is really good, perfect for what I needed. The writing style was really good, and easy to understand.
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Format: Kindle Edition Verified Purchase
Very good!
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0x9334830c) out of 5 stars 31 reviews
6 of 7 people found the following review helpful
HASH(0x930543fc) out of 5 stars Thorough introduction to the current Big Data landscape 1 July 2012
By Erik Gfesser - Published on Amazon.com
Format: Kindle Edition
Thorough introduction to the current Big Data landscape. After discussions of data science, associated tooling used in this space, and issues likely to be encountered with data, which comprise about half the text, the editors shift the discussion to the application of data science findings and the business of data. The only dissenter in terms of the effectiveness of what the authors share here actually touches upon a benefit rather than a drawback when they write that this book was apparently not written by data scientists: because the authors write with management in mind, the discussion does not get lost in the many technical details that comprise Big Data, but instead provides a compact, highly readable summary of a range of related subject matter.

The authors tackle Big Data terminology well, beginning with the term "Big Data" itself. "We've all heard a lot about 'big data' but 'big' is really a red herring. Oil companies, telecommunication companies, and other data-centric industries have had huge datasets for a long time. And as storage capacity continues to expand, today's 'big' is certainly tomorrow's 'medium' and next week's 'small'. The most meaningful definition I've heard: 'big data' is when the size of the data itself becomes part of the problem. We're discussing data problems ranging from gigabytes to petabytes of data. At some point, traditional techniques for working with data run out of steam." The aspect that makes what is now being attempted different is that information platforms designed to explore and understand data, beyond traditional business intelligence, are being built.

As a consultant, I especially appreciate the links that the editors provide throughout for tooling and other technical subjects that would otherwise significantly increase the length of this white paper sized book. The interviews with individuals from companies in this space, such as Infochimps and Gnip, is also appreciated. And although it ends rather abruptly, the last chapter on the business of data, which compliments the first chapter, is especially well done, including a discussion of the emerging Big Data stack comprised of both open source and commercial products that furthers the presention of the SMAQ stack (Storage, MapReduce, and Query) discussed earlier in the book. Recommended to anyone within or looking to enter the Big Data space.
1 of 1 people found the following review helpful
HASH(0x930595e8) out of 5 stars Great for Free, Chapters on Different Subjects 9 April 2013
By E. Walker - Published on Amazon.com
Format: Kindle Edition Verified Purchase
This has two or three chapters that do a good job of explaining what Big Data is, and what the tools are to work with it. That was exactly what I was looking for. It does a good job of explaining in general terms what Hadoop is, and what programs like PIG and HIVE have to do with it.
1 of 1 people found the following review helpful
HASH(0x930549e4) out of 5 stars Overview 16 Aug. 2013
By Peter Wilbur - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Nice overview of what is happening in various areas with "big data". Does not get too deep into any subject but does try to offer definitions and discusses tools.
HASH(0x93059624) out of 5 stars Great overview 8 July 2013
By Dan Nuttle - Published on Amazon.com
Format: Kindle Edition Verified Purchase
I'm relatively new to the world of Big Data, so I can't say authoritatively that this is comprehensive and accurate. But it helped to shine light into a lot of shadowy corners for me, and it is chock-full of useful links. Well worth the time to read.
HASH(0x93059a14) out of 5 stars Different interesting viewpoints, a bit repetitive 28 Mar. 2013
By V. Fernandes - Published on Amazon.com
Format: Kindle Edition
I liked the book because it gave me different perspectives on Big Data from people at different places on the big data stack. Some of the questions (and the answers to them) seemed to b the same so the book could have improved with some more editing.
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