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 |