IT471: Data Warehousing for Business Intelligence

Credits: 3

Catalog Description

This course provides students with the technical skills required to plan and implement a data warehouse using a database management system. It describes basic data warehousing concepts. The course covers design and implementation of data marts and operational data stores. Topics include dimensional data modeling for warehouses, CUBES and storage modes including MOLAP, ROLAP and HOLAP, and data warehousing infrastructure and analytical service tool selection. This course involves designing a data warehousing system and the implementation of a database with a stare schema, gathering data from primary data sources, transforming data, and loading it into a database management system. Students create cubes using OLAP and analyze cube data using client application.

Current & Upcoming Offerings

2025-2026

Fall 2025 3 sections
Section Schedule / Time Instructor Location
01
Th 05:30PM - 08:15PM
College of Management
W01-0034
02
F 01:00PM - 03:45PM
College of Management
Y04-4170
03
W 05:30PM - 08:15PM
College of Management
Y04-4190
Spring 2026 2 sections
Section Schedule / Time Instructor Location
01
M 04:00PM - 06:45PM
College of Management
W02-0107
02
W 05:30PM - 08:15PM
College of Management
W01-0029

Prerequisites

Upper-level course in data warehousing for business intelligence covering dimensional modeling, OLAP, and warehouse implementation.