Data Warehouse and Data Mining

Learning Outcomes

At the end of this course, students should gain knowledge about the concepts and components of data warehouse and data mining; Applying the concept, preparing data warehouse and data mining; Describing the advantages of data warehouse and data mining utilization; Choosing the strategy of data warehouse and data mining that appropriate to the needs.

Topics

1. The Data warehouse Environments
2. The Data warehouse and Design
3. The Data warehouse and Technology
4. The Distributed Data warehouse
5. External/Unstructured Data and The Data warehouse
6. Data Warehouse Design Review Checklist
7. Data Mining and Data Warehousing – A connected view
8. Data Warehousing Components
9. Data Mining
10. Classical Techniques: Statistics, Neighborhoods, and Clusters
11. Next Generation Techniques: Trees, Networks and Rules
12. When to use Data Mining
13. Building the Business Case