Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effect
Big Data Analytics with R
โ Scribed by Simon Walkowiak
- Publisher
- Packt
- Year
- 2016
- Tongue
- English
- Leaves
- 491
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This book is intended to provide a comprehensive coverage about survival and omics-gene expression data analysis for oncology research and to highlight some recent development in the area. It will guide to perform survival analysis with gene expression data using R & is aimed at researchers studying
<p>Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those
<p>Set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics</p> <p><b>Overview</b></p> <ul> <li>Write Hadoop MapReduce within R</li> <li>Learn data analytics with R and the Hadoop platform</li> <li>Handle HDFS data within R</li> <li>Understand Hadoop st
<p>Set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics</p> <p><b>Overview</b></p> <ul> <li>Write Hadoop MapReduce within R</li> <li>Learn data analytics with R and the Hadoop platform</li> <li>Handle HDFS data within R</li> <li>Understand Hadoop st