Big Data Analytics with Hadoop

Authors

  • M. S. Surabhy M.Tech. Student, Department of Computer Science and Engineering, Mount Zion College of Engineering, Pathanamthitta, India
  • Smita C. Thomas Associate Professor, Department of Computer Science and Engineering, Mount Zion College of Engineering, Pathanamthitta, India

Keywords:

analytics database, analytic application, algorithm, apache, big data, cluster, hadoop, map reduce, mongodb, yarn

Abstract

This paper attempts here the basic sympathetic of BIG DATA in addition to its worth to organizations as of Performance viewpoint. Together thru introduction of big data, the significant parameters as well the attributes that make emergent models attractive to organizations have been tinted. This document likewise evaluates differentiation in challenges faced through miniature organizations while likening to small or large-scale operations plus the dissimilarity in their approach and dealing with big data. A number of submission examples of completion of BD crosswise manufactures changeable in strategy, the product then process has accessible. The next part of the paper deals with the technological aspect of design for its performance in organization. Meanwhile, Hadoop is the company with the details of the variety of components. Additionally, each one of the components of architecture has been in use and is described in the feature.

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Published

24-09-2023

How to Cite

[1]
M. S. Surabhy and S. C. Thomas, “Big Data Analytics with Hadoop”, IJRESM, vol. 6, no. 9, pp. 48–52, Sep. 2023.

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Articles