FIT3003 - Business intelligence and data warehousing - 2018

Automation and the use of technological tools have resulted in the accumulation of vast volumes of data by modern business organisations. Data warehouses have been set up as repositories to store this data and improved techniques now result in the speedy collection and integration of such data. OLAP technology has resulted in the faster generation of reports and more flexible analysis based on the data repositories. This unit will explore the concepts of data warehousing and OLAP, covering the data processing technological requirements for data warehousing and OLAP and will provide hands on experience on designing data warehousing and OLAP systems.

At the completion of this unit, students should be able to:

1. design multi-dimensional databases and data warehouses;
2. use fact and dimensional modelling;
3. implement online analytical processing (OLAP) queries;
4. explain query optimisation and its impact on multi-dimensional design;
5. create business intelligence reports using data warehouses and OLAP.

Examination (2 hours): 60%; In-semester assessment: 40%

Minimum total expected workload equals 12 hours per week comprising:

1. Contact hours for on-campus students:
   • Two hours of lectures
   • One 2-hour laboratory
2. Additional requirements (all students):
   • A minimum of 2 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Business analytics

Business information systems

Computational science

Data science

http://www.infotech.monash.edu.au/units/