"Repetitive querying of large random heterogeneous datasets in RDBMS us" by Ammar Albalkhi

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

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.

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