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Big Data: Tools and Technologies in Big Data

by Jaskaran Singh, Varun Singla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 15
Year of Publication: 2015
Authors: Jaskaran Singh, Varun Singla
10.5120/19740-0029

Jaskaran Singh, Varun Singla . Big Data: Tools and Technologies in Big Data. International Journal of Computer Applications. 112, 15 ( February 2015), 6-10. DOI=10.5120/19740-0029

@article{ 10.5120/19740-0029,
author = { Jaskaran Singh, Varun Singla },
title = { Big Data: Tools and Technologies in Big Data },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 15 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number15/19740-0029/ },
doi = { 10.5120/19740-0029 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:32.143236+05:30
%A Jaskaran Singh
%A Varun Singla
%T Big Data: Tools and Technologies in Big Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 15
%P 6-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big data can be defined as data which requires latest technologies other than the traditional tools and techniques to handle it, due to its unstructured nature. Huge volume, various varieties and high velocity create lots of other challenges and issues regarding its management and processing. Big data is growing at an exponential rate so it becomes important to develop new technologies to deal with it. This paper covers the leading tools and technologies for big data storage and processing. Hadoop, Map Reduce and No SQL are the major big data technologies. These technologies are very helpful in big data management. Technologies based on Hadoop called Hadoop Eco system have also discussed. This Paper also throws some light on other big data emerging technologies. There are so many areas from which big data is being generated, this paper covered those areas and provide solutions for dealing with that data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Hadoop Map Reduce No SQL Unstructured Nature Hadoop Eco System.

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