Abstract

Big data analytics is the procedure of inspecting huge data sets to expose hidden patterns, unidentified associations, market trends, purchaser preferences and other useful business information. i.e. data analytics helps organizations harness their data and use it to identify new opportunities. Examining big data allows analysts, researchers, and business operators to make better and faster decisions using data that was before difficult to get to or unfeasible. Using progressive analytics methods such as text analytics, machine learning, predictive analytics, data mining, statistics, and usual language processing, businesses can study before unused data sources independent or together with their existing enterprise data to gain new insights resulting in significantly better and faster decisions. Thus to analyze such a growing data certain frameworks can be used. In this paper a survey on all the frameworks to analyze data and the comparative analysis on them is carried out.