Taxonomy of Big Data Analytics: Methodology, Algorithms and Tools

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Rakesh Kumar Singh

Abstract

With the advent of revolution in the digital world, there is a rise in different type of data drastically. The data consists of structured and unstructured form of data, which is complex in nature and suppose to be stored, processed and finally analyzed to get some useful result for some organisation. As it is now not possible for traditional analytical methods to handle such a huge data, so a number of new and highly performance algorithms are developed for the efficient and useful analysis of big data. Analysis of these massive data requires a lot of efforts at multiple levels to extract knowledge for decision making. Therefore, big data analysis is a current area of research and development. This paper gives a brief introduction to big data and about the existing challenges, research, analytics tools, algorithms, open issues and future research direction for the study of big data analysts.

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