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Big Data Analytics: Significance, Challenges and Techniques

by Chatura Chinthana Gamage
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 29
Year of Publication: 2020
Authors: Chatura Chinthana Gamage
10.5120/ijais2020451858

Chatura Chinthana Gamage . Big Data Analytics: Significance, Challenges and Techniques. International Journal of Applied Information Systems. 12, 29 ( May 2020), 21-29. DOI=10.5120/ijais2020451858

@article{ 10.5120/ijais2020451858,
author = { Chatura Chinthana Gamage },
title = { Big Data Analytics: Significance, Challenges and Techniques },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2020 },
volume = { 12 },
number = { 29 },
month = { May },
year = { 2020 },
issn = { 2249-0868 },
pages = { 21-29 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number29/1084-2020451858/ },
doi = { 10.5120/ijais2020451858 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:07:33.160567+05:30
%A Chatura Chinthana Gamage
%T Big Data Analytics: Significance, Challenges and Techniques
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 29
%P 21-29
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big data analytics have been embraced as a novel technology that will reshape domains such as business intelligence, cyber security and economic development that relies on data analytics to gain insights for better decision-making. In recent years, the rapid development of Internet, Information Systems, and Cloud Computing have led to the explosive growth of data in almost every industry and business area. Due to the rapid growth of such data, big data analytics techniques need to be explored and provided in order to process and derive value and knowledge from large datasets. Analysis of these data requires a lot of efforts at multiple levels of knowledge extraction for effective decision making. This paper aims to briefly introduce the concept of big data, analyze some of the different analytics methods and tools which can be applied to big data, as well as critically evaluate the significance of the big data analytics and challenges associated with the application of big data analytics in various decision domains.

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Index Terms

Computer Science
Information Sciences

Keywords

Big data big data analytics data mining hadoop analytical complexity data visualisation

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