Analysis on Big Data Using R Programming

Authors(2) :-Sangita, Shagun

Over the past decade, big data analysis has seen an exponential growth and will certainly continue to witness spectacular developments due to the emergence of new interactive multimedia applications and highly integrated systems driven by the rapid growth in information services and microelectronic devices. So far, most of the current mobile systems are mainly targeted to voice communications with low transmission rates. In the near future, however, big data access at high transmission rates will be. This is a result on accessible big-data systems that include a set of tools on R Studio and technique to load, extract, and improve dissimilar data while leveraging the immensely parallel processing power to perform complex transformations and analysis. “Big-Data” system faces a series of technical challenges.

Authors and Affiliations

Sangita
M. Tech. Scholar, Department of Computer Science & Engineering Manav Institutes of Technology & Management, Haryana, India
Shagun
Asstt. Professor, Department of Computer Science & Engineering Manav Institutes of Technology & Management, Haryana, India

Big Data, IDC, NIST, Big Data, EMC.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 747-752
Manuscript Number : CSEIT1835149
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sangita, Shagun, "Analysis on Big Data Using R Programming", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.747-752, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835149

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