Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7551
Title: SEEK an implementation of elastic search in couchDB
Authors: Agarwal, Prakhar
Singh, Gagan Deep
Ahuja, Nishtha [Guided by]
Keywords: couchDB
Issue Date: 2016
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: This project is intended to give an Implementation of Elasticsearch in Big Data. Since, Now a day’s Organizations are generating, processing, and retaining data at a rate that often exceeds their ability to analyze it effectively and at the same time, the insights derived from these large data sets are often key to the success of the organizations, allowing them to better understand how to solve hard problems and thus gain competitive advantage. Because this data is so fast-moving and voluminous, it is increasingly impractical to analyze using traditional offline, read-only relational databases. 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, Elasticsearch a distributed full-text search engine that explicitly addresses issues of scalability, big data search, and performance that relational databases were simply never designed to support.
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7551
Appears in Collections:B.Tech. Project Reports

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