A Review Paper on Big Data and Hadoop |
Author(s): |
| Yasika Verma , Gurgaon Institute of Tech. & Mgmt , Gurgaon; Sumit Hooda, Gurgaon Inst. of Tech. & Mgmt, Gurgaon |
Keywords: |
| Big Data, Hadoop, HDFS, MapReduce and Hadoop Clustering |
Abstract |
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Today, organizations in every industry are being showered with imposing quantity of new information. As there are many more data channels and categories available along with traditional sources. Therefore the rate of data growth is increasing more and more which results in a very large volume of data. These vastly larger volumes and new assets are known as Big Data. Technologies such as MapReduce & Hadoop are used to extract value from Big Data. Hadoop is well adopted, standard-based, open source software framework build on the foundation of Google’s MapReduce. There are also new data storage techniques that have arisen to bolster these new architectures, including very large file system running on commodity hardware. This new data storage technology is HDFS. This file system is meant to support enormous amount of structured as well as unstructured data. |
Other Details |
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Paper ID: IJSRDV3I2571 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 682-684 |
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