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

Kurscode B6063G
Kurssprache Deutsch
Unterlagen Englisch
Anbieter IBM
Preis 1400,00 Euro exkl. USt
Dauer 2 Tage
Kurstermine 14 Termine


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.



Data Modelers



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


Ort des Kurses Kursbeginn  
Virtual Classroom 01. März 2021 Buchen
Virtual Classroom 08. April 2021 Buchen
Virtual Classroom 03. Mai 2021 Buchen
Stuttgart 17. Mai 2021 Buchen
Virtual Classroom 31. Mai 2021 Buchen
Virtual Classroom 05. Juli 2021 Buchen
Berlin 12. Juli 2021 Buchen
Virtual Classroom 02. August 2021 Buchen
Virtual Classroom 06. September 2021 Buchen
Frankfurt 20. September 2021 Buchen
Virtual Classroom 04. Oktober 2021 Buchen
Virtual Classroom 04. November 2021 Buchen
Düsseldorf 15. November 2021 Buchen
Virtual Classroom 02. Dezember 2021 Buchen



Please refer to course overview


Key topics

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 dimensions
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 Aggregates automatically
• Aggregate Advisor recommendations
• Monitor Dynamic Cube performance
• Model aggregates (automatically vs manually)
• Use Slicers to define aggregation partitions

7: Define Security
• Overview of Dynamic Cube security
• Identify security filters
• The Security process - Three steps
• Examine security scope
• Identify scope rules
• Identify roles
• Capabilities and access permissions
• Cube security deep dive

8: Model a virtual cube
• Explore virtual  cubes
• Create the virtual cube
• Explore virtual cube objects
• Examine virtual measures and calculated members
• Currency conversion using virtual cubes
• Security on virtual cubes

A: Introduction to IBM Cognos Analytics (Optional)
• Define IBM Cognos Analytics
• Redefined Business Intelligence
• Self-service
• Navigate to content in IBM Cognos Analytics
• Interact with the user interface
• Model data with IBM Cognos Analytics
• IBM Cognos Analytics components
• Create reports
• Perform self-service with analysis and Dashboards
• IBM Cognos Analytics architecture (high level)
• IBM Cognos Analytics security
• Package / data source relationship
• Create Data modules
• Upload files

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