Publisher |
Shroff/O'Reilly |
Publication Year |
2012 |
ISBN-13 |
9789350236802 |
ISBN-10 |
9789350236802 |
Binding |
Paperback |
Number of Pages |
140 Pages |
Language |
(English) |
Dimensions (Cms) |
24 X 18 X 1 |
Weight (grms) |
500 |
It's tough to argue with R as a high-quality, cross-platform, open source statistical software productóunless 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
Q Ethan McCallum
Q Ethan McCallum is a consultant, writer and technology enthusiast, though perhaps not in that order. His work has appeared online on The O’Reilly Network and Java.net and also in print publications such as C/C++ Users Journal, Doctor Dobb’s Journal and Linux Magazine. In his professional roles, he helps companies to make smart decisions about data and technology.
Q Ethan McCallum
Shroff/O'Reilly