Facebook
ODBIERZ TWÓJ BONUS :: »

Parallel R (ebook)(audiobook)(audiobook)Książka w języku angielskim

Okładka książki/ebooka Parallel R

Okładka książki Parallel R

Okładka książki Parallel R

Okładka książki Parallel R

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
126
2w1 w pakiecie:
     ePub
     Mobi

Ebook

79,90 zł
67,92 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

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, 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
0 Q. Ethan McCallum, Stephen Weston

Zamknij

Wybierz metodę płatności