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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 10, OCTOBER 2015

A Study on Evolution of Data in Traditional RDBMS to Big Data Analytics

Surajit Mohanty, Kedar NathRout, Shekharesh Barik, Sameer Kumar Das

DOI: 10.17148/IJARCCE.2015.41049

Abstract: The volume of data that enterprise acquires every day is increasing rapidly. The enterprises do not know what to do with the data and how to extract information from this data. Analytics is the process of collecting, organizing and analysing large set of data that is important for the business. The process of analysing and processing this huge amount of data is called bigdata analytics. The volume, variety and velocity of big data cause performance problems when processed using traditional data processing techniques. It is now possible to store and process these vast amounts of data on low cost platforms such as Hadoop. The major aspire of this paper is to make a study on data analytics, big data and its applications.



Keywords: BigData, Hadoop, MapReduce, Sqoop and Hive.

How to Cite:

[1] Surajit Mohanty, Kedar NathRout, Shekharesh Barik, Sameer Kumar Das, “A Study on Evolution of Data in Traditional RDBMS to Big Data Analytics,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.41049