DEMYSTIFYING CHALLENGES, OPPORTUNITIES AND ISSUES OF BIG DATA FRAMEWORKS

The Big data has a huge volume of data sets, which is used to process the conventional data processing applications. In this paper, the Flex Analytics framework is used to enhance the scalability and flexibility of analyzing and processing the data and provide visualization of data. The MapReduce framework of the fuzzy logic model is used in big data for the degree of uncertainty and to reduce the imbalance of data. The Map-Reduce framework for large-scale extreme learning machine for massive and dispersed data and machine learning approach is used to find the bottleneck in the peer-peer network. The emerging distributed cloud data centers with the security framework using Hadoop technology is used to process larger datasets. The financial data standard is utilized to eliminate the data redundancy and noise.