This course provides a comprehensive overview of data warehousing together with an in-depth treatment of planning, design, deployment, and ongoing maintenance issues. Students will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and information delivery. Topics include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architectures, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. Includes hands-on exercises in commercial data warehousing modeling and implementation tools and perform case analysis.
Enterprise Data Warehousing for Business Intelligence
Management Information Systems
Monday, November 7, 2016 to Monday, February 13, 2017