Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7551
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAgarwal, Prakhar-
dc.contributor.authorSingh, Gagan Deep-
dc.contributor.authorAhuja, Nishtha [Guided by]-
dc.date.accessioned2022-10-10T11:20:42Z-
dc.date.available2022-10-10T11:20:42Z-
dc.date.issued2016-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7551-
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectcouchDBen_US
dc.titleSEEK an implementation of elastic search in couchDBen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

Files in This Item:
File Description SizeFormat 
SEEK an implementation of elastic search in couchDB.PDF1.89 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.