CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Trend Analysis of E-Commerce Data using Hadoop Ecosystem

by Rama Satish K. V., N. P. Kavya
journal cover thumbnail

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.

References
  1. Impetus white paper, March, 2011, “Planning Hadoop/NoSQL Projects for 2011” by Technologies
  2. ChenHauWang Dept. of Comput. Sci., Nat. Chiao-Tung Univ., Hsinchu, Taiwan Ching TsorngTsai ; Chia Chen Fan ; Shyan Ming Yuan A Hadoop Based Weblog Analysis System.
  3. Rama Satish K V ; N P Kavya “An approach to optimize QOS Scheduling of MapReduce in Big Data”, International Journal of Engineering Research and Technology, Volume 2, Issue 11, May 2014.
  4. Fuad, A. ; Erwin, A. ; Ipung, H.P.Information, Communication Technology and System (ICTS), 2014 International Conference on DOI:10.1109/ICTS.2014 .7010600 Publication Year: 2014 , Page(s): 297 – 302.
  5. Rama Satish K V ; N P Kavya, “Big Data Processing with harnessing Hadoop - MapReduce for Optimizing Analytical Workloads”, Proc. of IEEE International Conference, Mysore, INDIA, 27-29, November 2014.
  6. Dan Meng ; Huili Gong ; Xiaojuan Li ; Demin Zhou Geoinformatics (GEOINFORMATICS), 2012 20th International Conference on DOI:10.1109/Geoinformatics.2012.6270336 Publication Year: 2012 , Page(s): 1 – 6.
  7. Jianguo Cui ; Pengyuan Zhao ; Shiliang Dong ; Liqiu Liu ; Rui Lv ; Zhonghai Li Electrical and Control Engineering (ICECE), 2011 International Conference on
  8. DOI: 10.1109/ICECENG.2011.6057830Publication Year: 2011 , Page(s): 3339 – 3342.
  9. Meng Gui-fang ; Cheng Wan-li ; Zhu Wei Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on DOI: 10.1109/ICCSN .2011.6013692 Publication Year: 2011 ,Page(s): 191 - 194
  10. “Why Big Data is a must in E-Commerce”, Guest post by Jerry Jao, CEO of Retention Science. http://www.bigdatalandscape.com/news/why-big-data-is-a-must-in-ecommerce.
  11. Apache sqoop official website: http://sqoop.apache.org/docs/
  12. Rama Satish K V and N P Kavya, “A New Efficient Cloud Model for Data Intensive Application”, [GJCST] Global Journal of Computer Science and Technology: Distributed and Cloud Computing, March 2015.
  13. Yogesh Pingle, Vaibhav Kohli, Shruti Kamat, Nimesh Poladia, (2012) “Big Data Processing using Apache Hadoop in Cloud System”, National Conference on Emerging Trends in Engineering & Technology.
  14. Tom White, (2012) “Hadoop: The Definitive Guide. O’Reilly”, Scbastopol, California.
  15. Jeffrey Dean and Sanjay Ghemawat., (2004) “MapReduce: Simplified Data Processing on Large Clusters”, Google Research Publication.
Index Terms

Computer Science
Information Sciences

Keywords

Trend Analysis E-Commerce data Apache Hadoop Hive.

Powered by PhDFocusTM