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Big Data Analysis: A Review

by Sanyam Sareen, Shivangi Ahuja
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 23
Year of Publication: 2018
Authors: Sanyam Sareen, Shivangi Ahuja
10.5120/ijca2018917994

Sanyam Sareen, Shivangi Ahuja . Big Data Analysis: A Review. International Journal of Computer Applications. 181, 23 ( Oct 2018), 5-9. DOI=10.5120/ijca2018917994

@article{ 10.5120/ijca2018917994,
author = { Sanyam Sareen, Shivangi Ahuja },
title = { Big Data Analysis: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2018 },
volume = { 181 },
number = { 23 },
month = { Oct },
year = { 2018 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number23/30023-2018917994/ },
doi = { 10.5120/ijca2018917994 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:06:46.916740+05:30
%A Sanyam Sareen
%A Shivangi Ahuja
%T Big Data Analysis: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 23
%P 5-9
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The term Big Data accounts for analysis of already procured heterogeneous, structured, unstructured data to find connections between already existing links and predicting the future ones. Big Data finds its use in almost all aspects of society including healthcare, mining, telecom industries etc. It aims at quicker computation of all the humongous data collected from various sources. Big Data and decision making are concomitant so it is influencing IT sectors in present days too. Because Big Data is dependent upon the storage capacity, confidentiality and data complexity come as big loop holes. The sources of this mammoth volume of data include digital pictures and videos, online transactions, GPS signals, sensors etc. Currently hadoop handles big data change but the rate at which the data is increasing new techno logical developments need to made to buttress the already existing system.

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Index Terms

Computer Science
Information Sciences

Keywords

Hadoop Big Data analytics Hadoop Ecosystem

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