6 points, SCA Band 2, 0.125 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Associate Professor David Taniar
- First semester 2019 (On-campus)
- First semester 2019 (Evening)
- Second semester 2019 (On-campus)
FIT9132 or FIT5132 or FIT9003 or equivalent
This unit is intended to provide students with a framework for understanding business intelligence systems as well as the provision of high quality, integrated data for decision support through data warehousing. The unit has a particular focus on the evolutionary process of developing data warehousing using relational database management systems, and multi-dimensional modelling for structuring business intelligence data. The unit also presents students with coverage of several important aspects of data warehousing, including architecture, design, implementation, and optimisation. The unit will present this material using relevant research, case studies and practical exercises. Students will develop data warehouse modelling and OLAP using relational database management systems.
On successful completion of this unit, students should be able to:
- describe the scope and application of data warehousing
- design data warehousing systems
- design multidimensional data models using star schemas
- implement data warehousing in relational databases
- use OLAP in SQL
- explain the need for data warehousing architecture
- explain query optimisation and its impact on multi-dimensional design
NOTE: From 1 July 2019, the duration of all exams is changing to combine reading and writing time. The new exam duration for this unit is 2 hours and 10 minutes.
Examination (2 hours): 60%; In-semester assessment: 40%
Minimum total expected workload equals 12 hours per week comprising:
- Contact hours for on-campus students:
- 2 hours of lectures
- One 2-hour laboratory
- Study schedule for off-campus students:
- Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.
- Additional requirements (all students):
- A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.
See also Unit timetable information