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Big data analytics is a form of advanced analytics, which involve complex applications with elements such as predictive models, statistical algorithms and what-if analysis powered by analytics systems. Organizations can use big data analytics systems and software to make data driven decisions that can improve business-related outcomes. The benefits may include more effective marketing, new revenue opportunities, customer personalization and improved operational efficiency. With an effective strategy, these benefits can provide competitive advantages over rivals. Data analysts, data scientists, predictive modelers, statisticians and other analytics professionals collect, process, clean and analyze growing volumes of structured transaction data as well as other forms of data not used by conventional BI and analytics programs. In this book, the topics discussed are about basics of big data analytics, Hadoop ecosystem Components, how to write a MapReduce Program, Hadoop Writables along with some of the big data processing tools such as pig and hive.