Big Data Analysis By using Hadoop MapReduce and Apache Hive
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Big Data Analysis By using Hadoop MapReduce and Apache Hive
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Big data analytics is the process of analysis the extremely large sets of data. Analyzing the big data is a challenging task to the data analytics, because it is not viable to store the huge data on a traditional data warehouse which makes more expensive, which involves large distributed file system. Hadoop is an open source java based programming framework which is used in companies like Yahoo, Facebook, Twitter etc. to store and process the huge data sets by using the commodity hardware. Hadoop is created as faster alternative to the traditional RDBMS. In Traditional RDBMS is took lot of time to process the large data, by using Hadoop we can process huge data very fast. These Big data is not possible to analysis by the traditional data analytics. This project will present a study of store the big data and analysis by using Hadoop MapReduce and Apache Hive
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http://hdl.handle.net/2323/6385
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Author (aut): Gottimukkula, Srikanth
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37 pages.
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English
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bitstream_16336.pdf
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1511048
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