An implementation approach of big data computation by mapping Java classes to MapReduce
Big Data by virtue of its features in the V's and C's space calls for a processing methodology that is quite different form the process prevalent with traditional system of data processing. Hadoop one of popular framework is used for computation of Big Data. Hadoop with its associated technologies and techniques provides a arrangement for data storage in a distributed file system and further analysis of the same in a distributed mechanism through MapReduce. This paper explores the Hadoop and MapReduce implementation using JAVA language. The paper details about the close association of Java Mapper, Driver and Reducer classes to a MapReduce environment.