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 Multidimensional Data Analysis Techniques (continued)

3. 13 3 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Multidimensional Data Analysis Techniques (continued)

4. 13 4 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Advanced Database Support Advanced data access features include: – Access to many different kinds of DBMSs, flat files, and internal and external data sources – Access to aggregated data warehouse data as well as to detail data found in operational databases – Advanced data navigation –Rapid and consistent query response times –Ability to map end-user requests to appropriate data source and then to proper data access language (usually SQL) – Support for very large databases

5. 13 5 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Easy-to-Use End-User Interface Many of interface features are “borrowed” from previous generations of data analysis tools that are already familiar to end users –Makes OLAP easily accepted and readily used

6. 13 6 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Client/Server Architecture Provides framework within which new systems can be designed, developed, and implemented –Enables OLAP system to be divided into several components that define its architecture –OLAP is designed to meet ease-of-use as well as system flexibility requirements

7. 13 7 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel OLAP Architecture

8. 13 8 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel OLAP Architecture (continued)

9. 13 9 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel OLAP Architecture (continued) Designed to use both operational and data warehouse data Defined as an “advanced data analysis environment that supports decision making, business modeling, and an operation’s research activities” In most implementations, data warehouse and OLAP are interrelated and complementary environments

10. 13 10 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel OLAP Architecture (continued)

11. 13 11 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel OLAP Architecture (continued)

12. 13 12 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Relational OLAP Provides OLAP functionality by using relational databases and familiar relational query tools to store and analyze multidimensional data Adds following extensions to traditional RDBMS: –Multidimensional data schema support within RDBMS –Data access language and query performance optimized for multidimensional data

13. 13 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Relational OLAP