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Big Data Analysis using Hadoop

by Archana Bopche
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 6
Year of Publication: 2017
Authors: Archana Bopche
10.5120/ijca2017915960

Archana Bopche . Big Data Analysis using Hadoop. International Journal of Computer Applications. 179, 6 ( Dec 2017), 1-4. DOI=10.5120/ijca2017915960

@article{ 10.5120/ijca2017915960,
author = { Archana Bopche },
title = { Big Data Analysis using Hadoop },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 6 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number6/28737-2017915960/ },
doi = { 10.5120/ijca2017915960 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:54:34.018222+05:30
%A Archana Bopche
%T Big Data Analysis using Hadoop
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 6
%P 1-4
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a new set of approaches is present for analyzing dataset which is called as Big data. The big data is most wrongly interpreted term, when one talk about big data in terms of computers it is concept which explains about gathering, organizing, analyzing the data and from these steps to get information from this data. With this approach one is not able to do previously because there had challenges across one or more of the 3V’s of bigdata.Firstly volume which means too big data second is verity which has too complex data and velocity which has fast data. With the help of Bigdata performance of organization is improved. As HADOOP is a prominent framework for big data implementation, so paper present overall architecture of Hadoop with details of its components.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Big data.HDFS

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