IDENTIFYING THE CORE PHASES IN THE BIG DATA AND THEIR RESEARCH OPPORTUNITIES

Abstract

One perspective is that big data is more and different kinds of data than is easily handled by traditional relational database management systems (RDBMSs). For example, 10 terabytes to be big data, but any numerical definition is likely to change over time as organizations collect, store, and analyze more data. Purpose of this analysis to identify the right challenges research opportunities. There are multiple research work happens currently primitive research work is to explore the growth of big data on the different dimension beyond to identify the core research phase such as storage, processing, and visualizing. For that, this study delivers various research opportunities for big data analytics.