Unless you’ve been stuck under that proverbial rock for a few years, you’ve at least heard of the Internet of Things (IoT) and how it is connecting us in new and interesting ways. The rise of the smart home is one way that the IoT is changing things for people around the world – homes filled with devices that can communicate with one another, with people living in the home, and even with outside third parties. However, this technology is not constrained just to our homes. It’s growing in terms of both scope and capabilities. Enter the smart city, where the Internet of Things will impact everything from lighting to the flow of traffic through urban centres

Traditional sources of energy are in decline and the world is shifting towards renewable forms of energy. There are around 50 solar power plants in India. These power plants incorporate solar power grids, inverters, batteries and various sensors for monitoring and control. There is a requirement for efficiency and to detect system faults; to this end the data generated by sensors must be constantly monitored and analysed. With cloud service technology, solar grids sensors can be connected to remote monitoring facilities by utilizing Internet of Things (IOT) technology. The huge volumes of data produced by sensors is now manageable, and with Big Data techniques and MapReduce algorithm, it is not only possible to store and analyse data, but predict potential problems. This paper investigates ways to store, analyze and visualize the data produced by solar sensors.This paper aims to analyze following things: 1) Detecting Flaws in solar power plants/farms 2) Analyzing Power generated 3) Visualizing the results