A Study on Big Data and its Applications in Retail Sector

G.S. Sra¹ , R. Kaur²

1. Yadavindra College of Engineering, Punajbi University Patiala, Kalanwali, India.
2. Yadavindra College of Engineering, Punajbi University Patiala, Talwandi Sabo, India.

Correspondence should be addressed to: gagandeepsra.ind@gmail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.124-128, Jun-2017

Online published on Jun 30, 2017

Copyright © G.S. Sra, R. Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

322 Views    264 Downloads    168 Downloads

Abstract :
Big Data is no longer an unpopular word anymore. Any data which poses a challenge for currently existing database technologies is termed as Big Data. Today only big giants in the different fields like retail, medical, stock exchange etc. can think of handling it because of expensive and huge infrastructure involved in handling it. This research paper is based on highlighting how retail and cellular industry makes its use in targeting customers. In today’s busy life no one loves to receive unnecessary junk mails or messages. It is because of this that companies want to be crystal clear about each of its customer interest and his or her pattern of shopping and expenditure. For handling such a huge database of millions of customers, companies make use of powerful framework like Apache Hadoop. Apache Hadoop is one such framework which is capable of handling huge databases via its several components. It makes use of Map Reduce technology.

Key-Words / Index Term :
Apache Hadoop; Big Data; Map Reduce; retail industry

References :
[1] A. Katal, M. Wazid, R. Goudar “Big Data: Issues, Challenges, Tools and Good Practices”, 2013 Sixth International Conference on Contemporary Computing (IC3), Indian, pp. 404-409, 2013.
[2] S. Kaisler, F. Armour, J. Espinosa “Big Data: Issues and Challenges Moving Forward” International Conference on System Sciences, Hawai, pp. 995-1004, 2013.
[3] R. Kitchin, “Big data and human geography: Opportunities, challenges and risks”, Dialogues in human geography, Vol.3, Issue.3, pp.262-267.
[4] J.Stuart Ward, Adam Barker “Undefined by Data: A Survey of Big Data Definitions”, School of Computer Science-University of St. Andrews, UK, pp.1-120, 2013.
[5] M.S. Al-Hakeem, “A Proposed Big Data as a Service (BDaaS) Model”, International Journal of Computer Sciences and Engineering, Vol.4, Issue.11, pp.1-6, 2016.
[6] Atsushi Sato, Runhe Huang, “Retail Business Intelligence”, IEEE International Conference on Data Science and Data Intensive Systems, USA, pp.211-219, 2015.
[7] Sunny Kumar, “Big Data Platform-A Review”, International Journal of Computer Sciences and Engineering, Vol.3, Issue.10, pp.84-87, 2015.
[8] Gagandeep Jagdev, “Affirmative aspects of Big Data assures new revolution in retail sector”, RTEST-2016 at Rayat-Bahra University, India, pp.23-28, 2016.
[9] Gagandeep Jagdev, “Constructive aspects of Big Data in retail sector for financial growth”, CIOGEBS-2016 at Maharaja Ranjit Singh State Technical University, India, pp. 77-79 April 2016.