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Using R and Hadoop for Statistical Computation at Scale

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Using R and Hadoop for Statistical Computation at Scale

EngLish | .FLV | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1280x720, 29.97 fps | 1.51GBGenre: E-Learning

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.

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  1. 使用 RRevolution和 分布式计算平台 为尺度的统计计算 本教程被针对 Revolution 用户想要使用分布式计算平台来进行大数据和分布式计算平台用户想要做精密的分析。主持人向您介绍 Revolution、分布式计算平台和分布式计算平台项目。他们包括三个用于分布式计算平台的Revolution包替和分布式计算系统模型以及展示多个不断增加复杂度的实例,例如联合使用rmr 和 RevoscaleR 来解决建模问题。 本教程是2013年10月在纽约举行的O'Reilly Strata会议和分布式计算平台世界拍摄的。
    snsnjsn2年前 (2014-09-12)