52,46 €
58,29 €
-10% with code: EXTRA
Parallel R
Parallel R
52,46
58,29 €
  • We will send in 10–14 business days.
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 pack…
  • SAVE -10% with code: EXTRA

Parallel R (e-book) (used book) | Q Ethan McCallum | bookbook.eu

Reviews

(3.32 Goodreads rating)

Description

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

EXTRA 10 % discount with code: EXTRA

52,46
58,29 €
We will send in 10–14 business days.

The promotion ends in 17d.20:03:02

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 0,58 Book Euros!?
  • Author: Q Ethan McCallum
  • Publisher:
  • ISBN-10: 1449309925
  • ISBN-13: 9781449309923
  • Format: 17.8 x 23.3 x 0.7 cm, softcover
  • Language: English English

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

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)