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Big Data Analytics(BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing,and sales. This book dwells on all the aspects of Big Data Analytics and covers the subject in its entirety. It comprises several illustrations,sample codes, case studies and real-life analytics of datasets such as toys, chocolates, cars, and student’s GPAs. The book will serve theinterests of undergraduate and post graduate students of computer science and engineering, information technology, and relateddisciplines. It will also be useful to software developers.Salient Features:å Comprehensive coverage on Big Data NoSQL Column-family, Object and Graph databases, programming with open-source Big DataHadoop and Spark ecosystem tools, such as MapReduce, Hive, Pig, Spark, Python, Mahout, Streaming, GraphXå Inclusion of latest topics machine learning, K-NN, predictive-analytics, similar and frequent item sets, clustering, decision-tree,classifiers recommenders, real-time streaming data analytics, graph networks, text, web structure, web-links, social network analytics.å Web supplement includes instructional PPT’s, solution of exercises, analysis using open source datasets of a car company, and topicsfor advanced learning.