Analysis on Big Data Using R Programming

Authors

  • 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

Keywords:

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

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-06-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sangita, Shagun, " Analysis on Big Data Using R Programming, IInternational 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.