Alert for students
THIS TOPIC WILL FIRST BE OFFERED IN 2026.
Overview
This topic explores the intricacies of data warehousing for business leaders, with an emphasis on advanced areas including data warehouse architectures, design, and modelling. It provides students with a comprehensive introduction to key concepts and applications of data warehousing in modern organizations, such as Extract, Load, and Transform (ELT) processes. … 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 to aid data-driven decision making in complex organisational contexts. This topic provides students with a comprehensive understanding of data warehousing concepts and various data warehousing architectures commonly used in industry. In this topic students will learn best practices for data extraction, transformation, and loading (ELT); as well as ethical practices for maintaining high quality data. This topic equips students with knowledge and skills to utilise data warehousing for strategic decision making by providing an integrated repository of analysed data.
Learning outcomes
On completion of this topic you will be expected to be able to:
1.
Apply data warehousing techniques and best practices to create and maintain data warehouses
2.
Implement data warehouses to support decision-making processes for organisations
3.
Justify the purpose and significance of data warehousing within organisations
4.
Evaluate and analyse the impact of data quality on decision-making
5.
Critique real-world scenarios where data warehousing plays crucial role in business decision making in different contexts