A Big Success of Big Data

M Thillainayaki¹, M Hemalatha²

¹Research Scholar, Bharathiar University, Coimbatore.
²Head of Computer Science, Karpagam University, Coimbatore

Abstract

The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data. With an ever-increasing amount of options, the task of selecting machine learning tools for big data can be difficult. The available tools have advantages and drawbacks, and many have overlapping uses. The world's data is growing rapidly, and traditional tools for machine learning are becoming insufficient as we move towards distributed and real-time processing. This paper is intended to aid the researcher or professional who understands machine learning but is inexperienced with big data. In order to evaluate tools, one should have a thorough understanding of what to look for. To that end, this paper provides a list of criteria for making selections along with an analysis of the advantages and drawbacks of each.

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Cite this Article as Follows

M Thillainayaki, M Hemalatha. "A Big Success of Big Data" International Conference on Systems, Science, Control, Communication, Engineering and Technology (2016): 708-712. Print.