Picturing Big Data with Expanded and Virtual Reality : Agenda and Challenges Faced

Abstract

This paper gives a multi-disciplinary review of the exploration issues and accomplishments in the field of Big Data and its representation methods and instruments. The principle point is to sum up difficulties in perception strategies for existing Big Data, just as to offer novel answers for issues identified with the present status of Big Data Visualization. This paper gives a characterization of existing information types, scientific strategies, perception procedures and instruments, with a specific accentuation set on reviewing the development of representation approach over the previous years. In light of the outcomes, we uncover detriments of existing perception techniques. This paper will examine utilizing vivid augmented simulation conditions for envisioning, collaborating and sorting out enormous information. It uncovers that a large number of the created applications don't legitimize their ways to deal with introduction or association. A phenomenological point of view of encapsulated recognition and collaboration is examined to ground future turns of events. Besides, we examine the effects of new innovations, for example, Virtual Reality shows and Augmented Reality head protectors on the Big Data perception just as to the arrangement of the fundamental difficulties of incorporating the innovation.