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IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0)

Course Overview

Duration: 2 Days

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.


Knowledge of dimensional modeling and design. Experience using the IBM Cognos Analytics portal and Administration.


Please refer to course overview

Course Content

  1. Introduction to IBM Cognos Dynamic Cubes
    • Define and differentiate Dynamic Cubes
    • Dynamic Cubes characteristics
    • Examine Dynamic Cube requirements
    • Examine Dynamic Cube components
    • Examine high level architecture
    • IBM Cognos Dynamic Query
    • Review Dimensional Data Structures
    • Dynamic Cubes caching

  2. Create and design a Dynamic Cube
    • Explore the IBM Cognos Cube Designer
    • Review the cube development process
    • Examine the Automatic Cube Generation
    • Manual development overview
    • Create dimensions
    • Model the cube
    • Best practice for effective modeling

  3. Deploy and configure a Dynamic Cube
    • Deploy a cube
    • Explore the Estimate Hardware Requirements
    • Identify cube management tasks
    • Examine Query Service administration
    • Explore Dynamic Cube properties
    • Schedule cube actions
    • Use the DCAdmin comment line tool

  4. Advanced Dynamic Cube modeling
    • Examine advanced modeling concepts
    • Explore modeling caveats
    • Calculated measures and members
    • Model Relative Time
    • Explore the Current Period property
    • Define period aggregation rules for measures

  5. Advanced features of Cube Designer
    • Examine multilingual support
    • Examine ragged hierarchies and padding members
    • Define Parent-Child Dimensions
    • Refresh Metadata
    • Import Framework Manager packages
    • Filter measures and dimension

  6. Optimize performance with aggregates
    • Identify aggregates and aggregate tables
    • In-memory aggregates
    • Use Aggregate Advisor to identify aggregates
    • User defined in-memory aggregates
    • Optimize In-Memory Agg