Course Overview
In this course, students learn to progressively build an OLAP data model to support a wide range of business intelligence requirements. Students learn to design OLAP cubes to serve as a summary management resource for existing SQL table queries. Students also learn to leverage the power of Oracle OLAP by adding rich analytic content to your data model.
Students learn to create sophisticated reports of OLAP data by using simple SQL queries. Students also create and execute OLAP queries in SQL Developer, and Oracle Application Express (APEX). Students learn to implement cube security, including how to authorize access to cube data and methods for scoping user views of data. Finally, students learn to design OLAP cubes for performance and scalability.
Learn To:
- Design and create an Oracle OLAP data model
- Enable query rewrite to OLAP Cube MVs for relational summary management
- Easily create OLAP calculations that enrich the analytic content of your data model
- Query OLAP data using simple SQL
- Implement cube security
- Efficiently design cubes for performance and scalability
Who should attend
- Database Administrators
- Business Analysts
- Data Warehouse Analyst
- Business Intelligence Developer
- Data Warehouse Developer
- Data Warehouse Administrator
Prerequisites
- Basic SQL knowledge
- A basic understanding of OLAP concepts
Course Objectives
- Describe OLAP concepts and terminology
- Examine the role of Oracle OLAP within the Oracle BI / DW Platform
- Design and create OLAP Cubes
- Enable query rewrite to OLAP Cube MVs for summary management
- Create OLAP calculated measures
- Query stored and calculated OLAP data with simple SQL
- Use ad hoc query and reporting tools against OLAP data
- Implement cube security
- Efficiently design cubes for performance and scalability
Course Content
- Examining the Role of Oracle OLAP within the Oracle BI / DW Platform
- Understanding the Dimensional Model
- Building OLAP Cubes
- Examining Cube-Organized Materialized Views (Cube MVs)
- Creating Calculated Measures
- Using SQL to Query Oracle OLAP Cubes
- Enhancing Analytic Content
- Using Ad Hoc Query and Reporting Tools Against OLAP Data
- Implementing Cube Security
- Designing Cubes for Performance and Scalability
- Examining Performance Tuning