Big Data Analysis with R Programming and RHadoop

M. Thillainayaki; A. Jenneth; U. Prathibha

Title:
Big Data Analysis with R Programming and RHadoop

Authors:
U. Prathibha | M. Thillainayaki | A. Jenneth
DOI:
https://doi.org/10.31142/ijtsrd15705

Cite This Article :

U. Prathibha | M. Thillainayaki | A. Jenneth "Big Data Analysis with R Programming and RHadoop" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.2623-2627, URL: https://www.ijtsrd.com/papers/ijtsrd15705.pdf

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Abstract :
Big data is a technology to access huge data sets, have high Velocity, high Volume and high Variety and complex structure with the difficulties of management, analyzing, storing and processing. The paper focuses on extraction of data efficiently in big data tools using R programming techniques and how to manage the data and the components that are useful in handling big data. Data can be classified as public, confidential and sensitive. This paper proposes the big data applications with the Hadoop Distributed Framework for storing huge data in cloud in a highly efficient manner. This paper describes the tools and techniques of R which is integrated with Big data tools for the parallel processing and statistical method. Using RHadoop data tools helps organization to resolve the scalability, issues and solve their predictive analysis with high performance by using Map reducing Framework.

Keywords :
Big data, R, RHadoop, Map Reduce

Publication Details:

Unique Identification Number : IJTSRD15705

Published In : Volume-2 | Issue-4, June 2018

Page Number(s) : 2623-2627

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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