In todays world we find data everywhere, its like the air we breath surrounded all around us. The data volumes are growing at a fast rate. This fast growth calls for the need of a strategy to process and analyse the growing data. Hadoop Map Reduce method has proved to be a powerful Computation Model. Hadoop HDFS another Big Data and has become quite popular for its open source features with flexible scalability, less total cost of ownership and allows data stores without the need to have data types or schemas defined.

Data intensive problems have become quite prevalent in organizations of numerous industries. Analyzing and processing large volumes of data becomes quite tedious. Hadoop Implementation has helped to overcome the hurdles in large scale data intensive computing.