Toronto Metropolitan University
Browse

Data migration: relational RDBMS to non-relational NoSQL

Download (1.68 MB)
thesis
posted on 2021-05-22, 10:43 authored by Feroz Alam
As a part of achieving specific targets, business decision making involves processing and analyzing large volumes of data that leads to growing enterprise databases day by day. Considering the size and complexity of the databases used in today’s enterprises, it is a major challenge for enterprises to re-engineering their applications that can handle large amounts of data. Compared to traditional relational databases, non-relational NoSQL databases are better suited for dynamic provisioning, horizontal scaling, significant performance, distributed architecture and developer agility benefits. Based on the concept of Object Relational Mapping (ORM) and traditional ETL data migration technique this thesis proposes a methodology for migrating data from RDBMS to NoSQL. The performance of the proposed solution is evaluated through a comparative analysis of RDBMS and NoSQL implementations based on query performance evaluation, query structure and developmental agility.

History

Language

English

Degree

  • Master of Science

Program

  • Computer Science

Granting Institution

Ryerson University

LAC Thesis Type

  • Thesis

Year

2015

Usage metrics

    Computer Science (Theses)

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC