IBM Cognos Framework Manager: Design Metadata Models (v11.0.x) Course Overview

IBM Cognos Framework Manager: Design Metadata Models (v11.0.x) Course Overview

The IBM Cognos Framework Manager: Design Metadata Models (v11.0.x) course is an in-depth training program designed to teach learners how to model metadata for predictable and consistent reporting and analysis results within the IBM Cognos environment. Learners are introduced to the various aspects of Framework Manager starting with the basics of data modeling and extending to advanced techniques for optimizing performance.

Throughout the course, participants will gain hands-on experience with creating and managing metadata models, identifying and resolving query issues, implementing security, and leveraging advanced capabilities such as Dynamic Query Mode and materialized views to enhance query performance. With a strong emphasis on practical application, this course empowers learners to effectively design and manage metadata for their organization's BI needs, ensuring that users can derive accurate insights from their data.

By mastering the content covered in this course, learners will be well-equipped to deliver reliable and scalable metadata models, fostering efficient decision-making processes within their businesses.

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  • Live Online Training (Duration : 32 Hours)
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  • Live Online Training (Duration : 32 Hours)
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♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To successfully undertake the IBM Cognos Framework Manager: Design Metadata Models (v11.0.x) course, the following minimum prerequisites are recommended:


  • Basic knowledge of database concepts and structures, such as tables, columns, primary keys, and relationships.
  • Understanding of SQL or experience with writing SQL queries.
  • Familiarity with the concepts of data warehousing and business intelligence.
  • Some experience with IBM Cognos Analytics (Report Studio or equivalent) is helpful but not mandatory.
  • Ability to navigate Windows operating systems and use basic Windows functionality.
  • An analytical mindset and problem-solving skills to effectively design and optimize metadata models.

Please note, while these prerequisites will help you to get the most out of the course, our training is designed to accommodate a range of skills and experiences. Our expert instructors are skilled at providing the support and guidance needed to help all participants succeed.


Target Audience for IBM Cognos Framework Manager: Design Metadata Models (v11.0.x)

The IBM Cognos Framework Manager course equips professionals to design robust metadata models for business intelligence reporting.


Target audience for the IBM Cognos Framework Manager: Design Metadata Models (v11.0.x) course includes:


  • Business Intelligence (BI) Developers
  • Data Modelers
  • Data Architects
  • BI Report Designers
  • Data Analysts
  • Cognos Framework Managers
  • IT Professionals involved in data management and reporting
  • Database Administrators (DBAs) with a focus on reporting
  • Solution Architects working on BI solutions
  • Consultants specializing in Cognos or BI implementations
  • Data Warehouse Specialists
  • Technical Team Leads overseeing BI projects
  • Systems Analysts involved in data analytics projects


Learning Objectives - What you will Learn in this IBM Cognos Framework Manager: Design Metadata Models (v11.0.x)?

Introduction to Learning Outcomes

Gain expertise in designing metadata models with IBM Cognos Framework Manager v11.0.x, mastering data modeling strategies, ensuring accurate reporting, securing data, and optimizing performance.

Learning Objectives and Outcomes:

  • Understand and implement data modeling concepts to represent business requirements within a Framework Manager project.
  • Define and apply modeling strategies to ensure accurate and predictable query results.
  • Gain proficiency in using IBM Cognos Framework Manager for creating and extending metadata models.
  • Identify and resolve common query issues and reporting traps to ensure data integrity.
  • Model virtual star schemas and consolidate metadata for efficient querying and reporting.
  • Enhance data manipulation with calculations, filters, and customizations tailored for runtime usage.
  • Implement time dimensions and determinants to accurately represent temporal data in reports.
  • Create and manage presentation layers to facilitate user-friendly reporting interfaces.
  • Establish robust data and package security measures, including object security and dynamic data security.
  • Optimize Framework Manager models for performance using techniques such as materialized views, caching metadata, and enabling Dynamic Query Mode.
  • (Optional) Learn advanced model maintenance, including automation scripts, project segmentation, and customization for multilingual metadata.