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A Study of Migrating Biological Data from Relational Databases to NoSQL Databases

Moatassem, Nawal N.

Abstract Details

2015, Master of Computing and Information Systems, Youngstown State University, Department of Computer Science and Information Systems.
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.
Feng Yu, PhD (Advisor)
John Sullins, PhD (Committee Member)
Yong Zhang, PhD (Committee Member)
44 p.

Recommended Citations

Citations

  • Moatassem, N. N. (2015). A Study of Migrating Biological Data from Relational Databases to NoSQL Databases [Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1442486094

    APA Style (7th edition)

  • Moatassem, Nawal. A Study of Migrating Biological Data from Relational Databases to NoSQL Databases. 2015. Youngstown State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1442486094.

    MLA Style (8th edition)

  • Moatassem, Nawal. "A Study of Migrating Biological Data from Relational Databases to NoSQL Databases." Master's thesis, Youngstown State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1442486094

    Chicago Manual of Style (17th edition)