The World is getting swamped with data to the tune of 7ZB a year mostly emanating from the ‘internet of things’ devices. This data is scattered in various devices and no meaningful relationship may be derived from it, and neither can this terrific rate be managed by traditional storage or processors. It is believed that organizations that are best able to make real-time business decisions using Big Data solutions will thrive, while those that are unable to embrace and make use of this shift will increasingly find themselves at a competitive disadvantage in the market and face potential failure. Cloud computing promises enough capacity in terms of storage and processing power to elastically handle data of such magnitude and through the use of analytics get value from it. This paper focuses on environmental conditions’ data like rainfall, winds, temperature etc and the use of particular cloud computing analytical tool to get some meaningful information from it which can be utilized by farmers for strategic and successful Agriculture. Previous similar studies are discussed and recommendations given.
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