Course details
This course considers how to build, implement, tune and utilize data warehouses with Oracle technology. Logical data warehouse concepts are considered such as dimension tables, fact tables and star schemas. Implementing such logical concepts using the Oracle database is then presented including defining dimensions, hierarchies, measures and other objects. Physical implementation techniques are considered such as bitmap indexes, partitioned tables, materialized views, and others. Emphasis is placed on the parallel execution features of the database and how these can yield significant performance advantages. This course was formerly called "Build Oracle 9i Data Warehouses".
- Introduction to Oracle 9i: SQL
- Introduction to Oracle 9i: PL/SQL Language
- Introduction to Oracle 9i: Advanced SQL
- Understanding Warehouse Concepts and Terms
- Contrast OLTP & Warehouse Databases
- Enable Materialised Views & Query Rewrite
- Create the Materialised View
- Maintenance Options
- About the Types of Views
- Altering and Dropping Views
- Data Dictionary Storage
- Specifying the Default Refresh Options
- Performing a Refresh on Demand
- Implementing Fast Refresh
- Generating the Execution Plan
- Viewing the Execution Plan
- Interpreting the Execution Plan
- Query Rewrite Optimiser Hints
- Utilizing Constraints with Query Rewrite
- Query Rewrite Integrity Levels
- Query Rewrite Influences
- Creating & Maintaining Dimensions
- Data Dictionary Storage
- Dimension System-Supplied Packages
- The DBMS_OLAP() Package
- Incorporating Workload Statistics
- OEM Summary Advisor Wizard
- Data Sampling Techniques
- Aggregation Techniques
- Building the Data Warehouse Cube
- Ranking Functions
- Understanding Function Execution
- A Star Transormation Scenario
- Encouraging Star Transformation
- Creating & Accessing External Tables
- Performance Considerations
- Viewing & Altering Properties of External Tables
- Implementing a Pipelined Table Function
Course Location
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