A Study on Hadoop HDFS and Mapreduce |
Author(s): |
| M.Sona , Francis Xavier Engineering College; C.Vinola, Francis Xavier Engineering College; M.Asia Sahaya Christina, Francis Xavier Engineering College; N.L.Anto Arokia Mary, Francis Xavier Engineering College |
Keywords: |
| HDFS, MapReduce, Hadoop |
Abstract |
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Big data analysis is emerging as computational archetype. We are in the era of Big Data which is defined as a distinct collection of complicated and huge sets of data. The Data originates from Social Medias, Sensors, Digital Cameras, GPS signals and more that leads to compose big data. Big data is difficult to gather, progress, store, explore and analyze using conventional methods; it requires massively parallel software running on multiple numbers of servers. One of the tools to exploit Big Data is Hadoop which is a non-relational data store to handle variety of data. Hadoop Distributed File System and MapReduce are the main components of Hadoop. |
Other Details |
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Paper ID: IJSRDV3I1739 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 1381-1383 |
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