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Fast Data Processing with Spark Paperback – 23 Oct 2013

2.5 out of 5 stars 2 customer reviews

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Product details

  • Paperback: 120 pages
  • Publisher: Packt Publishing (23 Oct. 2013)
  • Language: English
  • ISBN-10: 1782167064
  • ISBN-13: 978-1782167068
  • Product Dimensions: 19 x 0.7 x 23.5 cm
  • Average Customer Review: 2.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 1,481,644 in Books (See Top 100 in Books)
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Product description

About the Author

Holden Karau

Holden Karau is a transgendered software developer from Canada currently living in San Francisco. Holden graduated from the University of Waterloo in 2009 with a Bachelors of Mathematics in Computer Science. She currently works as a Software Development Engineer at Google. She has worked at Foursquare, where she was introduced to Scala. She worked on search and classification problems at Amazon. Open Source development has been a passion of Holden's from a very young age, and a number of her projects have been covered on Slashdot. Outside of programming, she enjoys playing with fire, welding, and dancing. You can learn more at her website ( http://www.holdenkarau.com), blog (http://blog.holdenkarau.com), and github (https://github.com/holdenk).

Customer Reviews

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Top Customer Reviews

Format: Kindle Edition
The book covers deployment scenarios (EC2, EMR, with Mesos/YARN) and explains in a hands-on manner how to use Spark. It shows how to load and save data, manipulate the RDDs and also provides an intro into Shark (Hive). The last two chapters deal with testing and a few tips and tricks around log files, IDE integration, etc.

I found the book overall useful and although it doesn't provide a deep insight into Spark's history and philosophy it serves well as a practical guide for people who've acquired the basics somewhere else.
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Format: Paperback
I struggle to recommend this. It's very comprehensive about setup but very light on the programming model. If it was priced at 5 quid I'd be a lot happier.
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Most Helpful Customer Reviews on Amazon.com (beta) (May include reviews from Early Reviewer Rewards Program)

Amazon.com: 1.5 out of 5 stars 8 reviews
3 of 3 people found the following review helpful
3.0 out of 5 stars Its not realy that bad 1 Dec. 2014
By j - Published on Amazon.com
Format: Paperback Verified Purchase
Im rating 3 stars , for the time it was published, i might even rate 4. ... here is why i think this book is slightly better than most give it credit for.

- this book, for the time it was published, was a useful learning aide, and there wasnt much else out there.
- this book has code snippets, tables, and a real world setup described reasonably well.
- it touches on everything : memory, deployment, and the basic tenants of RDDs
5 of 6 people found the following review helpful
2.0 out of 5 stars Not very deep 25 Feb. 2014
By Anon - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Book is ok. Can be easily read in an afternoon. Not technically deep, more of a how to guide. Some example code in scalar/java.
19 of 19 people found the following review helpful
1.0 out of 5 stars Don't buy... 18 April 2014
By nyceyes - Published on Amazon.com
Format: Paperback
This book is so bad it should be free - and even then, the time you might spent on it would be too costly. Clearly this was a rush job with, for example, the text formatting (i.e. readability) being a joke, and with technical gaps and inaccuracies everywhere. Don't buy this. Go to the Apache Spark site and start with their documentation. You'll learn more. P.S. I enjoy writing and teaching people technical subjects with it. That said, I would not have put my name on this book.
13 of 13 people found the following review helpful
1.0 out of 5 stars Information light - too much padding 7 Mar. 2014
By Mr. T. Pickering - Published on Amazon.com
Format: Paperback
The very best computer books are short, concise and information dense.

This sadly is short verbose and information light.

There is a lot of padding in here for a really very short book - 120 pages doesn't give you scope for multi page code listings and the explanations are not detailed enough to be useful while trying to cover lots of options means you have a lot of too short to actually be of any benefit passages.

Avoid this book. Considering the price it's a shocker!
12 of 12 people found the following review helpful
1.0 out of 5 stars Don't buy this book 14 April 2014
By Tamilselvan Subramanian - Published on Amazon.com
Format: Paperback
It is a very outdated book, By reading this book i have unlearned almost all the spark hands on knowledge i have got from Spark 0.8.0.
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