Big Data Analytics with R and Hadoop: (Record no. 694693)

MARC details
000 -LEADER
fixed length control field 03002nam a2200145Ia 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781782163282
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 PRA/B
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Prajapati, Vignesh
245 ## - TITLE STATEMENT
Title Big Data Analytics with R and Hadoop:
Sub Title Setup an integrated infrastructure of R and Hadoop to turn your data analytics into Big data Analytics/
Statement of responsibility, etc Vignesh Prajapati
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Packet Publishers
Year of publication 2013.
Place of publication UK
300 ## - PHYSICAL DESCRIPTION
Number of Pages vi,219 p.
520 ## - SUMMARY, ETC.
Summary, etc If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential. Overview Write Hadoop MapReduce within R Learn data analytics with R and the Hadoop platform Handle HDFS data within R Understand Hadoop streaming with R Encode and enrich datasets into R In Detail 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 effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing. Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop. You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming. What you will learn from this book Integrate R and Hadoop via RHIPE, RHadoop, and Hadoop streaming Develop and run a MapReduce application that runs with R and Hadoop Handle HDFS data from within R using RHIPE and RHadoop Run Hadoop streaming and MapReduce with R Import and export from various data sources to R Approach 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. Who this book is written for 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 who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Big Data analysis, R language, Hadoop
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
        Dept. of Optoelectronics Dept. of Optoelectronics 02/08/2023 006.312 PRA/B DOP3585 02/08/2023 Book