2011, ISBN: 1449309925

[EAN: 9781449309923], Neubuch, [PU: OREILLY MEDIA Nov 2011], COMPUTERS - LANGUAGES / PROGRAMMING; PROGRAMMING GENERAL; PARALLEL; SOFTWARE DEVELOPMENT & ENGINEERING SYSTEMS ANALYSIS DESIGN… Mehr…

[EAN: 9781449309923], Neubuch, [PU: OREILLY MEDIA Nov 2011], COMPUTERS - LANGUAGES / PROGRAMMING; PROGRAMMING GENERAL; PARALLEL; SOFTWARE DEVELOPMENT & ENGINEERING SYSTEMS ANALYSIS DESIGN, Besorgungstitel Neuware - Rare Book Procurement - 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 120 pp. Englisch, Books<

ISBN: 9781449309923

Itâ??s tough to argue with R as a high-quality, cross-platform, open source statistical software productâ??unless youâ??re in the business of crunching Big Data. This concise book introdu… Mehr…

Itâ??s tough to argue with R as a high-quality, cross-platform, open source statistical software productâ??unless youâ??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. Youâ??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 donâ??t. With these packages, you can overcome Râ??s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address Râ??s memory barrier. Snow:works well in a traditional cluster environmentMulticore:popular for multiprocessor and multicore computersParallel:part of the upcoming R 2.14.0 releaseR+Hadoop:provides low-level access to a popular form of cluster computingRHIPE:uses Hadoopâ??s power with Râ??s language and interactive shellSegue:lets you use Elastic MapReduce as a backend for lapply-style operations | Parallel R by Q. McCallum Paperback | Indigo Chapters Electronics > Computers > Programming P10116, Q. McCallum<

ISBN: 9781449309923

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 yo… Mehr…

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 environmentMulticore:popular for multiprocessor and multicore computersParallel:part of the upcoming R 2.14.0 releaseR+Hadoop:provides low-level access to a popular form of cluster computingRHIPE:uses Hadoop’s power with R’s language and interactive shellSegue:lets you use Elastic MapReduce as a backend for lapply-style operations | Parallel R by Q. McCallum Paperback | Indigo Chapters Electronics > Computers > Programming P10116, Q. McCallum<

2011, ISBN: 1449309925

[EAN: 9781449309923], Nieuw boek, [SC: 11.96], [PU: O\\'Reilly Media, Inc], COMPUTERS - LANGUAGES PROGRAMMING GENERAL PARALLEL SOFTWARE DEVELOPMENT & ENGINEERING SYSTEMS ANALYSIS DESIGN I… Mehr…

[EAN: 9781449309923], Nieuw boek, [SC: 11.96], [PU: O\\'Reilly Media, Inc], COMPUTERS - LANGUAGES PROGRAMMING GENERAL PARALLEL SOFTWARE DEVELOPMENT & ENGINEERING SYSTEMS ANALYSIS DESIGN INFORMATIK EDV, 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 ., Books<