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MapReduce is a parallel programming model and an associated implementation introduced by This paper gives an overview of MapReduce programming model and its applications. The author has described here the workflow of MapReduce process. Some important issues, like fault tolerance, are studied in more detail. Even the illustration of working of Map Reduce is given.The data locality issue in heterogeneous environments can noticeably reduce the Map Reduce performance. In this paper, the author has addressed the illustration of data across nodes in a way that each node has a balanced data processing load stored in a parallel manner. Given a data intensive application running on a Hadoop Map Reduce cluster, the auhor has exemplified how data placement is done in Hadoop architecture and the role of Map Reduce in the Hadoop Architecture. The amount of data stored in each node to achieve improved data-processing performance is explained here.

MapReduce is a parallel programming model and an associated implementation introduced by

Eefficient use of energy is the need of an hour.Improving energy efficiency requires understanding of the usage patterns and practices. The outage is a wakeup call to modernize the infrastructure in the country to the collapse of the grids that knocked out power. When started analyzing on industry estimates, came to know that nearly 30 percent of the power generated in India is wasted in transmission and distribution primarily because of leakages and theft. There are certain mechanisms which have been used like legacy power distribution systems, SCADA etc. But Smart Metering technology is the one which is growing and in some years time will be seen implemented all over India. This is a review done to make load analysis of the power distribution to the customers on some such technologies to avoid sustained outages by analyzing momentary outage data and power theft using Hadoop MapReduce.