A Detail Study on Big Data Analytics

Abstract: Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, sharing, storage, transfer, visualization, querying, updating and information privacy. The term �big data� often refers simply to the use of predictive analytics, user behaviour analytics, or certain other advanced data analytics methods that extract value from data, user behaviour analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. The paper focus on the analytic methods used for big data. Big data analytics is the process of collecting, organizing and analysing large sets of data to discover patterns and others useful information. Big data analytics can help organizations to better understand the information contained within the data and will also help identifying the data that is most important to the business and future business decisions. This paper highlights the need to develop appropriate methods to unstructured text, audio, and video formats. Keywords: Big data, Big data analytics, Big data definitions, Unstructured data analytics, Predictive analytics.