Q. Ethan McCallum
Parallel R
- ISBN 13:
- 9781449309923
- author:
- Q. Ethan McCallum
- format:
- Paperback
- publisher:
- OReilly Media
- language:
- English
- Publication Year:
- 2011
- Pages:
- 122
- Dimensions:
- 23.3 x 17.8 x 0.7 cm
- Genre:
- Computer Science Textbook
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
R: Strategies for Analyzing Large Datasets with Parallel Computing. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn how to use R in conjunction with Hadoop, as well as other packages such as Snow, Multicore, Parallel, RHIPE, and Hadoop Streaming. These tools enable you to overcome R's single-threaded nature by spreading work across multiple CPUs or offloading work to multiple machines. You'll discover the capabilities of each package, including when they're suitable for use. For example, Snow works well in traditional cluster environments, while Multicore is popular on multiprocessor and multicore computers. By mastering these packages, you can unlock the full potential of R and tackle large-scale data analysis projects with confidence. By learning how to use these packages together, you'll be able to overcome R's memory barrier and analyze large datasets more efficiently.
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