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A Study on Hadoop Mapreduce Framework in Bigdata .


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-Hadoop Map Reduce is processed for analysis large volume of data through multiple nodes. Today we’re surrounded by data like oxygen. The exponential growth of data first presented challenges to cutting-edge businesses such as Google, Yahoo, Amazon, Microsoft, Facebook, Twitter etc.., data volumes to be processed by cloud application are growth much faster than computing power. This growth is demands new strategy for processing and analysing information Hadoop MapReduce has become a powerful computation model address to these problems

Keywords

Big Data, Hadoop, Map reduce, Analytics, Architecture .
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  • A Study on Hadoop Mapreduce Framework in Bigdata .

Abstract Views: 146  |  PDF Views: 0

Authors

Dr. S. Banumathi
no, India
A. Priyadharshini
no, India

Abstract


-Hadoop Map Reduce is processed for analysis large volume of data through multiple nodes. Today we’re surrounded by data like oxygen. The exponential growth of data first presented challenges to cutting-edge businesses such as Google, Yahoo, Amazon, Microsoft, Facebook, Twitter etc.., data volumes to be processed by cloud application are growth much faster than computing power. This growth is demands new strategy for processing and analysing information Hadoop MapReduce has become a powerful computation model address to these problems

Keywords


Big Data, Hadoop, Map reduce, Analytics, Architecture .

References