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Business intelligence and data warehousing

FIT3003

Synopsis

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.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
6
Level
3
Audience
Undergraduate
Type
Coursework
School
Faculty of Information Technology
Handbook year
2026

Prerequisites (2)

What it unlocks

Nothing in the visible graph depends on this unit.

Offerings (2)

  • Second semesterMalaysia · ON-CAMPUS / Clayton · FLEXIBLE

Listed in 4 areas of study

  • Computational scienceComputer science electives
  • Computational scienceComputer science electives
  • Data scienceLevel 3 elective units
  • Software engineeringSoftware engineering technical electives