Overview
IBM Cognos Cube Designer – Design Dynamic Cubes: 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. The learning module is designed in such a way that the participants will learn the full scope of the metadata modeling process. This course will also help you learn from core project creation, to publish a dynamic cube, and enable end users to easily author reports and analyze the data.
Audience
Data Modelers
Prerequisite
• Knowledge of dimensional modeling and design. Experience using the IBM Cognos Analytics portal and Administration.
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Module 1: Introduction to IBM Cognos Dynamic Cubes
- Lesson 1: Define and differentiate Dynamic Cubes
- Lesson 2: Dynamic Cubes characteristics
- Lesson 3: Examine Dynamic Cube requirements
- Lesson 4: Examine Dynamic Cube components
- Lesson 5: Examine high level architecture
- Lesson 6: IBM Cognos Dynamic Query
- Lesson : Review Dimensional Data Structures
- Lesson 8: Dynamic Cubes caching
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Module 2: Create and design a Dynamic Cube
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Module 3: Deploy and configure a Dynamic Cube
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Module 4: Advanced Dynamic Cube modeling
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Module 5:Advanced features of Cube Designer
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Module 6: Optimize performance with aggregates
- Lesson 1: Identify aggregates and aggregate tables
- Lesson 2: In-memory aggregates
- Lesson 3: Use Aggregate Advisor to identify aggregates
- Lesson 4: User defined in-memory aggregates
- Lesson 5: Optimize In-Memory Aggregates automatically
- Lesson 6: Aggregate Advisor recommendations
- Lesson 7: Monitor Dynamic Cube performance
- Lesson 8: Model aggregates (automatically vs manually)
- Lesson 9: Use Slicers to define aggregation partitions
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Module 7: Define Security
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Module 8: Model a virtual cube
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