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Study of migrating biological data from relational databases to NoSQL databases

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dc.contributor.author Moatassem, Nawal en_US
dc.date.accessioned 2016-01-08T18:39:58Z
dc.date.accessioned 2019-09-08T02:57:25Z
dc.date.available 2016-01-08T18:39:58Z
dc.date.available 2019-09-08T02:57:25Z
dc.date.issued 2015
dc.identifier 931897896 en_US
dc.identifier.other b21969279 en_US
dc.identifier.uri http://hdl.handle.net/1989/11713
dc.description vii, 37 leaves : illustrations ; 29 cm en_US
dc.description.abstract The purpose of this research is to conduct a literature survey on various NoSQL Not-only-SQL) architectures. Included along with this literature survey is an experiment to do a comparison between a relational database management system (RDBMS) and a NoSQL DBMS. This work compares specifically MySQL and MongoDB, an RDBMS and NoSQL DBMS respectively, for the purposes of data migration. The migration is run on data sets for Youngstown State University's plantEST biological database. The idea is to demonstrate the need for shifting to NoSQL for management of large amounts of unstructured and semi-structured data, and to observe and record the insertion speeds of both databases using this custom plantEST schema. en_US
dc.description.statementofresponsibility by Nawal N. Moatassem. en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries Master's Theses no. 1546 en_US
dc.subject.lcsh Non-relational databases. en_US
dc.subject.lcsh Relational databases. en_US
dc.subject.lcsh Database management. en_US
dc.title Study of migrating biological data from relational databases to NoSQL databases en_US
dc.type Thesis en_US


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