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Novel Weather Data Analysis Using Hadoop and MapReduce ?? A Case Study


Scalable and Secure Big Data I

A Wavelet-Predominant Algorith

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Abstract


Nowadays analyzing data of very large amount has become a big challenge. Data could be medical, scientific, climatically, meteorological, marketing or financial. Techniques of Data mining are used for extraction of unpledged material from large data set. Weather forecasting can be preferred to help many important sectors which are affected by climate like agriculture, air traffic, water resources, and tourism. Weather forecasting is an area of meteorology which is performed by accumulating data from various sources related to the present condition of the weather like rainfall, temperate, wind, and fog. It is the main challenging task for the scientists. Hadoop and MapReduce considered as the important techniques used to analyze a large data set. This paper develops a system that adopts the historical weather data of a region it applies the MapReduce and Hadoop methods to analyze this data

KeyWords
Meteorology, Weather forecasting, Map Reduce, Hadoop, Big data, Data Mining



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