ISBN: 9781449309923 - parallel r: data analysis in the distributed world (25 resultados)

Condición: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

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Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condición: As New. Unread book in perfect condition.

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

Condición: New.

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

Paperback or Softback. Condición: New. Parallel R: Data Analysis in the Distributed World. Book.

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Condición: 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. . . . .…

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

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

Condición: 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.…

Blanda. Condición: New. Estado de la sobrecubierta: Nuevo. 1. 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. 240 gr. No Aplica (ilustrador). Libro.…

Taschenbuch. Condición: 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. Condición: 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 .

paperback. Condición: New. In shrink wrap. Looks like an interesting title.

Paperback. Condición: Brand New. 120 pages. 9.19x7.00x0.28 inches. In Stock. This item is printed on demand.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.