EXPLORING THE NEXUS OF BIG DATA AND HADOOP: AN IN-DEPTH REVIEW
Keywords:
Big Data, Hadoop, Map Reduce, HDFS, Data MiningAbstract
Within the field of data management and analytics, the convergence of Big Data and Hadoop represents a force that is capable of bringing about significant change. The purpose of this review paper is to investigate the complexities of this dynamic relationship by analyzing its consequences, difficulties, and possible applications. This article provides a complete overview of the landscape by synthesizing existing research and perspectives from industry practitioners. It also sheds light on key concepts, methodology, and developing trends in the industry. It elucidates the enormous influence that the integration of Big Data and Hadoop has had across a variety of industries by means of critical analysis and empirical evidence, so paving the way for improved decision-making, innovation, and competitive advantage.
References
I. Harshawardhan S. Bhosale, Prof. Devendra P. Gadekar “A Review Paper on Big Data and Hadoop” in International Journal of Scientific and Research Publications, Volume 4, Issue 10, October 2014.
II. SMITHA T, V. Suresh Kumar “Application of Big Data in Data Mining” in International Journal of Emerging Technology and Advanced Engineering Volume 3, Issue 7, July 2013).
III. IBM Big Data analytics HUB, www.ibmbigdatahub.com/infographic/four-vs-big-data
IV. Mrigank Mridul, Akashdeep Khajuria, Snehasish Dutta, Kumar N “Analysis of Bidgata using Apache Hadoop and Map Reduce” in International Journal of Advance Research in Computer Science and Software Engineering, Volume 4, Issue 5, May 2014.
V. Apache Hadoop Project, http://hadoop.apache.org/, 2013.
VI. Smitha.T, Dr.V. Sundaram, “Classification Rules by Decision Tree for disease prediction” International journal for computer Application, (IJCA) vol 43, 8, No-8, April 2012 edition. ISSN0975- 8887; pp- 35-37
VII. Mucherino A. Petraq papajorgji P. M. Paradalos 1998. A survey of data mining techniques alied to agriculture CRPIT.3(3): 555560.
VIII. Anupam Jain, Rakhi N K and Ganesh Bagler, arxiv.org/abs/1502.03815 Spices Form The Basis Of Food Pairing In Indian Cuisine.
IX. MIT Technology Review, http://www.technologyreview.com/view/535451/data-mining- indian-recipes-reveals-new-food-pairing-phenomenon/.
X. Vidyasagar S. D, A Study on “Role of Hadoop in Information Technology era”, GRA - GLOBAL RESEARCH ANALYSIS, Volume: 2 | Issue: 2 | Feb 2013 • ISSN No 2277 – 8160.
XI. BIG DATA: Challenges and opportunities, Infosys Lab Briefings, Vol 11 No 1, 2013.
XII. Divyakant Agrawal, Challenges and Opportunities with Big Data, A community white paper developed by leading researchers across the United States.
XIII. Puneet Singh Duggal, Sanchita Paul, Big Data Analysis: Challenges and Solutions in International Conference on Cloud, Big Data and Trust 2013, Nov 13-15, RGPV.
XIV. Big Data, Wikipedia, http://en.wikipedia.org/wiki/Big_data Webster, Phil. "Supercomputing the Climate: NASA's Big Data Mission". CSC World. Computer Sciences Corporation. Retrieved 2013-01-18.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 International Educational Journal of Science and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
