Merging Virtual World with Data Sciences

Data has become humongous even when coming from single source like mobile consisting of many forms of sensors included. Data coming from all different and similar sources distributed over the globe makes magnitude harder to process up-to a needed scale. Big data and Deep learning had become standard in providing well-known solutions built-up using algorithms and techniques like association rule, classification tree, genetic algorithms, machine learning, regression and sentimental analysis etc. in resolving matching issues for learning the outcome effects.1 Now with the involvement of sensors and automation in generating data complicates everything. Predicting results to overcome current era of ever enhancing demands and getting real-time visualization brings the need of feature like hierarchal modeling of data to be improved such that to bring down the complexity of data capturing and analyzing process. Virtualization brings opportunity of predicting happening with the help of the chances of lossless alternative and optimal option selection. The same is true for the eLearning opportunities.2