Isbn: 9781449309923 - parallel r: data analysis in the distributed world (7 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Paperback. Zustand: Brand New. 120 pages. 9.19x7.00x0.28 inches. In Stock.

Zustand: New. 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. Num Pages: 122 pages, Illustrations. BIC Classification: UMX. Category: (XV) Technical / Manuals. Dimension: 233 x 178 x 8. Weight in Grams: 244. . 2011. Paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Zustand: 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.…

Kartoniert / Broschiert. Zustand: New. 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 .