Big data predictive analysis: Using R analytical tool

Data available in large volume, variety is generally termed as Big Data. Since Big data is difficult to analyze using traditional data processing techniques, many new data processing tools and techniques have evolved over the need to practice result-oriented big data analysis. In this paper, big data has been analyzed using one of the advance and effective data processing tool known as R Studio to depict predictive model based on results of big data analysis. Couples of algorithms — Random Forest (RF) and Latent Dirichlet Allocation (LDA) are applied over R package in order to find out more concrete results. To portray operational demonstration of this model, author has performed case study by analyzing fertility associated big data and come up with predictive model which will help to foretell certain possibilities well in advance.