Hadooop and Cloud Computing |
Author(s): |
| Jyoti Singh , Independent Researcher, kharghar 410210, India |
Keywords: |
| Big Data, Hadoop, Map Reduce, HDFS, Hadoop Components, Cloud |
Abstract |
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Hadoop is distributed processing framework that manages data processing and storage for big data applications running in clustered systems. It is allows data to be stored in distributed format to be run in parallel. The cloud is well suited to provide the big data computation power required for the processing of these large parallel data sets. Cloud has the ability to provide the flexible and agile computing platform required for big data, as well as the ability to call on massive amounts of computing power (to be able to scale as needed).It is efficient, and it automatic distributes the data and work across the machines and in turn, utilizes the underlying parallelism of the CPU cores. |
Other Details |
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Paper ID: IJSRDV6I70306 Published in: Volume : 6, Issue : 7 Publication Date: 01/10/2018 Page(s): 624-626 |
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