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Item Details
Title:
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PARALLEL R
DATA ANALYSIS IN THE DISTRIBUTED WORLD |
By: |
Q. Ethan McCallum, Stephen Weston |
Format: |
Paperback |
List price:
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£17.50 |
Our price: |
£12.78 |
Discount: |
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You save:
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£4.72 |
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ISBN 10: |
1449309925 |
ISBN 13: |
9781449309923 |
Availability: |
Usually dispatched within 1-3 weeks.
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Stock: |
Currently 0 available |
Publisher: |
O'REILLY MEDIA, INC, USA |
Pub. date: |
5 November, 2011 |
Pages: |
122 |
Description: |
R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. |
Synopsis: |
R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. It's possible to break past these boundaries by putting R on the parallel path. Parallel R will describe how to give R parallel muscle. Coverage will include stalwarts such as snow and multicore, and also newer techniques such as Hadoop and Amazon's cloud computing platform. |
Illustrations: |
Illustrations |
Publication: |
US |
Imprint: |
O'Reilly Media, Inc, USA |
Returns: |
Returnable |
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