Implementation of Word Count Problem with Map Reduce using Hadoop

Authors: Rahul Sharma, O.P. Sharma

Published in: IJRRETAS, Volume 3, Issue 5, pp. 1-4 (01 May 2017)

Impact Factor: 3.5 (2017)

License: CC BY 4.0 CC BY 4.0 (Open Access)

Certificate: View Certificate

Abstract

In cloud computing, data is moved to a remotely located cloud server. Cloud server faithfully stores the data and return back to the owner whenever needed. Data and computation integrity and security are major concerns for users of cloud computing facilities. Today\'s clouds typically place centralized, universal trust in all the cloud\'s nodes.Hadoop is founded on MapReduce, which is among the most popular programming items for huge knowledge analysis in a parallel computing environment. In this paper, we reward a particular efficiency analysis, characterization, and evaluation of Hadoop MapReduce WordCount utility.

Keywords
  • Performance analysis
  • cloud computing
  • Hadoop WordCount
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How to Cite
APA: Sharma, R., & Sharma, O. P. (2017). Implementation of Word Count Problem with Map Reduce using Hadoop. International Journal for Rapid Research in Engineering Technology & Applied Science, 3(5), 1–4. https://ijrretas.com/research-paper/implementation-of-word-count-problem-with-map-reduce-using-hadoop-
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