In high acceleration, magnitude and quality. It is

In this paper we discuss about the study of predictive analysis.Hence in today’s technology world data has been increased in both storage and processing owing to this many research is carried out in ……. , ……… , ……. Because of the increase in huge volume of data this paper helps the researcher in analysing the prediction. Machine learning is one among the materialize way to fabricate analytics model for machines to learn from data and able to do analysis on prediction. The rate of growth of data is high and so these data is been organized by using smart gird. As an eloquent reach in smart grid is hitch with power grid entail sensor, deployment shrewd smart meter and real time data processing that generates data with high acceleration, magnitude and quality. It is a two way of flow of ascendancy and statistics between supplier and customer in order to optimize the efficiency, reliability, sustainability. The data obtained from the smart grid are large and have all features to be called big data.Statistics obtained from the big data ease many fabrication in day to day action. This manifest part intend to produce actual research papers and prescient reviews on the algorithms, technologies that are auxiliary with big data analytics for modernizing the electric power grid. The cue “big data analytics” can be simplified by the subsequent four manner: data, problem, methodology, and technology. Predictive analytics is an prerequisite  approach that handles the necessary quantum of potentially fragile data to predict the future possibilities, trends and measures. Predictive analytics is composed of various mathematical and meticulous methods used to produce a new techniques to predict future possibilities.In this research work scrutinize about predictive analytics various algorithms with for and against in big data.The predictive algorithms are been explained neatly and clearly in upcoming parts.