Using R and Hadoop for statistical computation at scale /

"This tutorial is aimed at R users who want to use Hadoop to work on big data and Hadoop users who want to do sophisticated analytics. The presenters introduce you to R, Hadoop, and the RHadoop project. They cover three R packages for Hadoop and the mapreduce model and present numerous examples...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Piccolboni, Antonio
Autor Corporativo: Strata Conference Hadoop World
Otros Autores: Rickert, Thomas J. (Thomas Joseph), 1964-
Formato: Electrónico Congresos, conferencias Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, 2014.
Temas:
Apache Hadoop.
R (Computer program language)
Electronic data processing > Distributed processing.
Application software > Development.
R (Langage de programmation)
Traitement réparti.
Logiciels d'application > Développement.
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"This tutorial is aimed at R users who want to use Hadoop to work on big data and Hadoop users who want to do sophisticated analytics. The presenters introduce you to R, Hadoop, and the RHadoop project. They cover three R packages for Hadoop and the mapreduce model and present numerous examples of incremental complexity including the combination of rmr and RevoscaleR to solve modeling problems. This tutorial was filmed at the O'Reilly Strata Conference + Hadoop World NY in October of 2013"--Resource description page.
Notas:Title from title slide (viewed Aug. 7, 2014).
Descripción Física:1 online resource (1 streaming video file (2 hr., 45 min., 2 sec.))

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