Alert for students

THIS TOPIC WILL FIRST BE OFFERED IN 2027. 

Overview

This topic introduces the critical need for data warehousing and covers essential aspects, including data warehouse architectures, design, and modelling. Emphasizing data quality and the implementation process (including ETL), students will learn how data warehouses facilitate decision-making by offering an integrated repository of high-quality data, enabling flexible and multi-dimensional retrieval … For more content click the Read More button below.

Aims

The aim of this topic is to equip students with the knowledge and skills necessary to design, implement, and manage data warehouses as well as making students familiar with tools to facilitate decision making process. Students will also be introduced to key concepts such as fundamentals of data warehousing, ETL (Extract, Transform, Load) processes, data quality, and data warehouse architecture.

Learning outcomes

On completion of this topic you will be expected to be able to:
1.
Discuss principles of data warehouse design
2.
Evaluate how data warehouses support decision-making processes
3.
Justify the purpose and significance of data warehousing within organisations
4.
Assess the impact of data quality on decision-making
5.
Argue and critique real-world scenarios where data warehousing plays a crucial role

Requisites information

Pre-requisites:
Anti-requisites: