ElasticSearch: An advanced and quick search technique to handle voluminous data

Authors

  • Divya MS Master of Computer Application, Vivekananda Educational Society’s Institute Of Technology, Chembur Mumbai, Maharashtra
  • Goyal SK Deputy Head of the Department, Master of Computer Application, Vivekananda Educational Society’s Institute Of Technology, Chembur Mumbai, Maharashtra

Keywords:

Lucene, Big data, mapping, Indexing, Searching, Key-Value pairs

Abstract

A horizontally-scalable, distributed database built on Apache’s Lucene that delivers a full-featured search experience across terabytes of data with a simple yet powerful API.

References

“The Power of Elastic Search”, A white paper by Infochimps.

“ElasticSearch Server”, Rafat Kuc, Marek Rogozinski.

“Q&A with Shay Banon: 10 “Bonsai Cool” Things About elasticsearch” - 2013, Adam Bloom.

“The Future of Compass”, Shay Banon.

“Elasticsearch Platform Recommended as “Adopt” by ThoughtWorks”, Report: Technology Radar 2013.

“Elastic search or other Lucene for HBase?” - June 2010, Otis Gospodnetic.

“ Elastic Search: Distributed, Lucene-based Search Engine” May 2010, Sematext Blog.

“ElasticSearch at Berlinbuzzwords” 2010.

Downloads

Published

2024-02-26

How to Cite

Divya, M. S., & Goyal, S. K. (2024). ElasticSearch: An advanced and quick search technique to handle voluminous data. COMPUSOFT: An International Journal of Advanced Computer Technology, 2(06), 171–175. Retrieved from https://ijact.in/index.php/j/article/view/31

Issue

Section

Review Article

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