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Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
This course provides participants with introductory to advanced knowledge of how to model metadata for predictable reporting and analysis results using IBM Cognos Cube Designer. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Please refer to course overview
Data Modelers
Knowledge of dimensional modeling and design. Experience using the IBM Cognos Analytics portal and Administration.
1: Introduction to IBM Cognos Dynamic Cubes
2: Create and design a Dynamic Cube
3: Deploy and configure a Dynamic Cube
4: Advanced Dynamic Cube modeling
5:Advanced features of Cube Designer
6: Optimize performance with aggregates
7: Define Security
8: Model a virtual cube
A: Introduction to IBM Cognos Analytics (Optional)