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State of the Art of Big Data Analytics: A Survey

by Rajeshwari.d
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 22
Year of Publication: 2015
Authors: Rajeshwari.d
10.5120/21395-4456

Rajeshwari.d . State of the Art of Big Data Analytics: A Survey. International Journal of Computer Applications. 120, 22 ( June 2015), 39-46. DOI=10.5120/21395-4456

@article{ 10.5120/21395-4456,
author = { Rajeshwari.d },
title = { State of the Art of Big Data Analytics: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 22 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number22/21395-4456/ },
doi = { 10.5120/21395-4456 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:55.271081+05:30
%A Rajeshwari.d
%T State of the Art of Big Data Analytics: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 22
%P 39-46
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the recent times the amount of data are generated and stored by various industries are rapidly increasing on the internet thus data scientists are facing a lot of challenges for maintaining a huge amount of data as the fast growing industries require the significant information for enhancing the business and for predictive analysis of the information. This paper focuses on the various states of art studies towards Big Data analytic techniques and gives a better comparative analysis of various applications proposed till date. Inference has been done for evaluating the performance efficiency, limitations and the advantages of the different types of existing Big Data Analytic techniques. The main objective of the proposed study is to provide a better and significant research perspective and an overview of data analysis techniques which are referred to the papers found on the web which will be quite helpful for the future research prospective of this domain.

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Index Terms

Computer Science
Information Sciences

Keywords

Big Data Cloud Computing Hadoop Big Data analytics.

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