Parallel R
Data Analysis in the Distributed World
| Price | $19.99 - $29.79
|
| Rating |   |
| Authors | Q. Ethan McCallum, Stephen Weston |
| Publisher | O'Reilly Media |
| Published | 2011 |
| Pages | 126 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1449309925 |
| ISBN-13 | 9781449309923 |
It's tough to argue with R as a high-quality, cross-platform, open source statistical software product - unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, 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.
- Q. Ethan McCallum (2 books)
- Stephen Weston
4 5 39
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