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Development of the design methodology for large-scale database based on MongoDB

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dc.contributor.author이준호-
dc.contributor.author주경수-
dc.date.accessioned2021-08-11T15:44:07Z-
dc.date.available2021-08-11T15:44:07Z-
dc.date.created2021-06-17-
dc.date.issued2017-
dc.identifier.issn1598-849X-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/8038-
dc.description.abstractThe recent sudden increase of big data has characteristics such as continuous generation of data, large amount, and unstructured format. The existing relational database technologies are inadequate to handle such big data due to the limited processing speed and the significant storage expansion cost. Thus, big data processing technologies, which are normally based on distributed file systems, distributed database management, and parallel processing technologies, have arisen as a core technology to implement big data repositories. In this paper, we propose a design methodology for large-scale database based on MongoDB by extending the information engineering methodology based on E-R data model.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국컴퓨터정보학회-
dc.titleDevelopment of the design methodology for large-scale database based on MongoDB-
dc.title.alternativeDevelopment of the design methodology for large-scale database based on MongoDB-
dc.typeArticle-
dc.contributor.affiliatedAuthor주경수-
dc.identifier.doi10.9708/jksci.2017.22.11.057-
dc.identifier.bibliographicCitation한국컴퓨터정보학회논문지, v.22, no.11, pp.57 - 63-
dc.relation.isPartOf한국컴퓨터정보학회논문지-
dc.citation.title한국컴퓨터정보학회논문지-
dc.citation.volume22-
dc.citation.number11-
dc.citation.startPage57-
dc.citation.endPage63-
dc.type.rimsART-
dc.identifier.kciidART002285776-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorBig Data-
dc.subject.keywordAuthorData Modeling-
dc.subject.keywordAuthorNoSQL Database-
dc.subject.keywordAuthorMongoDB-
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