Data Mining with Elastic

Authors

  • Mani Nandhini Sri  Sri Krishna College of Technology Coimbatore, Tamil Nadu, India
  • Mani Nivedhini  Sri Krishna College of Technology Coimbatore, Tamil Nadu, India
  • Dr. A. Balamurugan  Sri Krishna College of Technology Coimbatore, Tamil Nadu, India

Keywords:

Hadoop, NoSQL, Data Mining, Elastic, RESTful API, RDBMS, MySQL

Abstract

Recently, new "big data" technologies and architectures, including Hadoop and NoSQL databases, have evolved to better support the needs of organizations analyzing such data. In particular, Elastic a distributed full-text search engine explicitly addresses issues of scalability, big data search, and performance that relational databases were simply never designed to support. In this paper, we reflect upon our own experience with Elastic and highlight its strengths and weaknesses for performing modern mining software repositories research.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 3, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mani Nandhini Sri, Mani Nivedhini, Dr. A. Balamurugan "Data Mining with Elastic" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 3, Issue 3, pp.317-321, March-April-2017.