Date of Award
2012
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
Computer science.
Supervisor
Kent, Robert (Computer Science)
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
A methodology has been developed to increase time efficiency of querying large heterogeneous datasets repetitively by applying materialized views on repetitive complex queries. Additionally, a simple user interface is provided to demonstrate the utility of this research methodology. The programs demonstrate sufficiently that the core design can be used to deploy a complete system which could be used in different domains. The methodology as developed in this research is presented as an experimental proof-of-concept prototype based on an abstract design.
Recommended Citation
Albalkhi, Ammar, "Repetitive querying of large random heterogeneous datasets in RDBMS using materialized views" (2012). Electronic Theses and Dissertations. 311.
https://scholar.uwindsor.ca/etd/311