Digitalization has made the enterprise data rich, with information pertaining to personal as well as business. The question remains whether or not we make use of this massive data for any use. The advent of data intensive applications leads to development of a framework which will crunch massive volumes of information into a knowledgeable source. Hadoop Map Reduce frame work facilitates processing of the huge collection of information in an efficient manner. In Hadoop, it is known that there is delay in execution of the processes submitted by various users at peak loads through SSH authentication. The massive data in the framework is vulnerable when it is outsourced to cloud, as computation as service; for that several authors proposed to use encrypted data, but the user is not allowed to perform read/write operation on encrypted data directly with the existing Hadoop Map Reduce Framework. Hence, in this book, authors aim at providing i) authentication, ii) security to the data being processed and iii) facility for effective retrieval mechanism in Hadoop Map Reduce frame work.