Big Data - A Nightmare to Data Scientist


Authors : B. Lakshmi, K. Anji Reddy

Volume/Issue : Volume 2 - 2017, Issue 5 - May

Google Scholar : https://goo.gl/uDwnXQ

Scribd : https://goo.gl/W1pRq6

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

The rise of social media and mobile devices involves rapid growth in data generation as a result data management has become increasingly challenging. The term Big Data is coined for large scale of data, which contains information including audio and video files. As data prone to rapid changes, traditional database management techniques are not capable to maintain such large varying data. More over data analysis has become a nightmare to data scientists. New analytics tools are emerging into IT world with a perspective to analyze the big data. Hadoop (IOP) and Big Insights together provide a software platform for visualizing, discovering, and analyzing data from disparate sources. This paper spots a light on big data characteristics and comparison between old and new architectures of data management. This survey paper concludes with a discussion of Hadoop as a solution to big data and promising future directions.

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