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Parallel R: Data Analysis in the Distributed World
Published by O'Reilly Media (edition 1), 2011
ISBN 10: 1449309925 ISBN 13: 9781449309923
Language: English
Paperback. Condition: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.35.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Parallel R: Data Analysis in the Distributed World (Paperback or Softback)
Published by O'Reilly Media 11/5/2011, 2011
ISBN 10: 1449309925 ISBN 13: 9781449309923
Language: English
Paperback or Softback. Condition: New. Parallel R: Data Analysis in the Distributed World 0.47. Book.
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US$ 23.76
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New. SUPER FAST SHIPPING.
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Parallel R: Data Analysis in the Distributed World
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 28.46
Convert currencyUS$ 16.11 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. In.
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paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Parallel R : Data Analysis in the Distributed World
Published by O'reilly Media Nov 2011, 2011
ISBN 10: 1449309925 ISBN 13: 9781449309923
Language: English
US$ 31.69
Convert currencyUS$ 71.24 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Neuware - It's tough to argue with R as a high-quality, cross-platform, open source statistical software productunless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together. You'll learn the basics of Snow, Multicore, Parallel, Segue, RHIPE, and Hadoop Streaming, including how to find them, how to use them, when they work well, and when they don't.With these packages, you can overcome R's single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R's memory barrier.\* Snow: works well in a traditional cluster environment\* Multicore: popular for multiprocessor and multicore computers\* Parallel: part of the upcoming R 2.14.0 release\* R+Hadoop: provides low-level access to a popular form of cluster computing\* RHIPE: uses Hadoop's power with R's language and interactive shell\* Segue: lets you use Elastic MapReduce as a backend for lapply-style operations.
