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

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

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

4. 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
Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel

5. 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
Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel

6. 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
Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel

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

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

9. 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
Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel

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

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

12. 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
Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel

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