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Trend Analysis of E-Commerce Data using Hadoop Ecosystem

by Rama Satish K. V., N. P. Kavya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 6
Year of Publication: 2016
Authors: Rama Satish K. V., N. P. Kavya
10.5120/ijca2016911109

Rama Satish K. V., N. P. Kavya . Trend Analysis of E-Commerce Data using Hadoop Ecosystem. International Journal of Computer Applications. 147, 6 ( Aug 2016), 1-5. DOI=10.5120/ijca2016911109

@article{ 10.5120/ijca2016911109,
author = { Rama Satish K. V., N. P. Kavya },
title = { Trend Analysis of E-Commerce Data using Hadoop Ecosystem },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 6 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number6/25654-2016911109/ },
doi = { 10.5120/ijca2016911109 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:08.614269+05:30
%A Rama Satish K. V.
%A N. P. Kavya
%T Trend Analysis of E-Commerce Data using Hadoop Ecosystem
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 6
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Trend Analysis is the custom of collecting information and attempting to spot a trend, or pattern, in the information. Trend analysis is often used to estimate future events, it could be used to approximate uncertain events in the past. Technical analysts and Technicians also uses market indicators of many types. Processing or analyzing the Trend in huge amount of data or extracting meaningful information is a challenging task. As the enterprises faced issues of gathering large chunks of data and analyzing the Trend .They found that the, data cannot be processed using any of the existing centralized architectures. One of the best open source tools used in the market to harness the distributed architecture in order to solve the data processing and analyzing problems is Apache Hadoop and Hive for querying best results. This paper addresses an experimental work on Trend analysis problem of big data and its optimal solution using Hadoop ecosystem, using parallel processing framework to process large data sets using Map Reduce programming and Apache Hive is a data warehouse infrastructure which is built on top of Hadoop for providing data summarization, querying and analysis.

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Index Terms

Computer Science
Information Sciences

Keywords

Trend Analysis E-Commerce data Apache Hadoop Hive.

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