Analytical approach of soft computing in big data issues

As big data computing is in emergence, therefore handling of large amount of data becoming a problematic day by day. Analyzing, visualizing, and managing this massive amount of data causing remarkable issues and challenges which are not even resolve through traditional technologies. Therefore it requires innovative technologies or methods to resolve issues and challenges. The main aim of this paper is to explore the effectiveness of combination of big data with soft computing to overcome the issues and challenges more efficiently and in less time. Here emphasis is given on three main soft computing techniques namely neural network, fuzzy logic and genetic for minimizing big data related problems. Research questions are also formed for this purpose in the present paper from 2004-2015 as primary study that will help the researchers in future in their related study.