1. 13 1 Chapter 13 The Data Warehouse Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel

2. 13 2 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Star Schema Representation (continued)

3. 13 3 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Star Schema Performance-Improving Techniques Four techniques to optimize data warehouse design are: –Normalizing dimensional tables –Maintaining multiple fact tables to represent different aggregation levels –Denormalizing fact tables –Partitioning and replicating tables Achieve semantic simplicity and facilitate end- user navigation through the dimensions

4. 13 4 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Star Schema Performance-Improving Techniques (continued)

5. 13 5 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Star Schema Performance-Improving Techniques (continued)

6. 13 6 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Star Schema Performance-Improving Techniques (continued) Denormalizing fact tables improves data access performance and save data storage space Partitioning splits table into subsets of rows or columns Replication makes copy of table and places it in different location

7. 13 7 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Implementing a Data Warehouse Numerous constraints, including: –Available funding –Management’s view of role played by an IS department and of extent and depth of information requirements –Corporate culture No single formula can describe perfect data warehouse development

8. 13 8 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel The Data Warehouse as an Active Decision Support Framework Data warehouse is not static database –It is dynamic framework for decision support that is always a work in progress Data warehouse is critical component of modern DSS, but it is not the only critical component

9. 13 9 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel A Company-Wide Effort That Requires User Involvement Data warehouse data cross departmental lines and geographical boundaries Building a data warehouse requires the designer: –Involve end users in process –Secure end users’ commitment from beginning –Create continuous end-user feedback –Manage end-user expectations –Establish procedures for conflict resolution

10. 13 10 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Satisfy the Trilogy: Data, Analysis, and Users Data warehouse designer must satisfy: –Data integration and loading criteria –Data analysis capabilities with acceptable query performance –End-user data analysis needs

11. 13 11 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Apply Database Design Procedures

12. 13 12 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Data Mining Data mining tools do the following: –Analyze data –Uncover problems or opportunities hidden in data relationships –Form computer models based on their findings –Use models to predict business behavior Require minimal end-user intervention

13. 13 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Data Mining (continued)

14. 13 14 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Data Mining (continued)