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IBM Cognos Framework Manager: Design Metadata Models (v11.1.x)
Course Description
Overview
This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using IBM Cognos Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data.
Objectives
Introduction to IBM Cognos Framework Manager
- Model data and identifying related data
- Define requirements and modeling strategies
- Overview of IBM Cognos Framework Manager
- Create a baseline project
- Extend a model
- Prepare reusable metadata
Model for predictable results in IBM Cognos Framework Manager
- Identify query issues
- Identify reporting traps
- Model virtual star schemas
- Use query subjects, modify relationships, and consolidate metadata using virtual objects
- Create calculations, filter data, and customize metadata for runtime
- Implement a time dimension and specify determinants
Model for presentation in IBM Cognos Framework Manager
- Create a presentation view
- Examine data source query subject types and stored procedure query subject types
- Specify data security and package security
- Specify object security and dynamic data security
- Create analysis objects
- Manage OLAP data sources
Advanced capabilities in IBM Cognos Framework Manager
- Explore SQL generation and the use of governors
- Examine the use of IBM Cognos SQL and generated SQL for DMR data
- Other query considerations
- Use session parameters, prompt macros, and security macro functions
- Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM)
- DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance
Extended capabilities in IBM Cognos Framework Manager
- Perform basic maintenance and management on a model
- Remap metadata to another source and import and link additional data sources
- Run scripts to automate or update a model and report on a model
- Segment a project, link a project, and branch a model
- Nest packages and specify package languages and functions
- Explore additional modeling techniques and customize metadata for a multilingual audience
Audience
Data Modelers
Prerequisites
- Knowledge of common industry-standard data structures and design
- Experience with SQL
- Experience gathering requirements and analyzing data
- IBM Cognos Analytics: Author Reports Fundamentals (v11.1.x) (recommended)
Topics
Introduction to IBM Cognos Framework Manager
- Model data and identifying related data
- Define requirements and modeling strategies
- Overview of IBM Cognos Framework Manager
- Create a baseline project
- Extend a model
- Prepare reusable metadata
Model for predictable results in IBM Cognos Framework Manager
- Identify query issues
- Identify reporting traps
- Model virtual star schemas
- Use query subjects, modify relationships, and consolidate metadata using virtual objects
- Create calculations, filter data, and customize metadata for runtime
- Implement a time dimension and specify determinants
Model for presentation in IBM Cognos Framework Manager
- Create a presentation view
- Examine data source query subject types and stored procedure query subject types
- Specify data security and package security
- Specify object security and dynamic data security
- Create analysis objects
- Manage OLAP data sources
Advanced capabilities in IBM Cognos Framework Manager
- Explore SQL generation and the use of governors
- Examine the use of IBM Cognos SQL and generated SQL for DMR data
- Other query considerations
- Use session parameters, prompt macros, and security macro functions
- Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM)
- DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance
Extended capabilities in IBM Cognos Framework Manager
- Perform basic maintenance and management on a model
- Remap metadata to another source and import and link additional data sources
- Run scripts to automate or update a model and report on a model
- Segment a project, link a project, and branch a model
- Nest packages and specify package languages and functions
- Explore additional modeling techniques and customize metadata for a multilingual audience
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our Data Reporting Badge Program →Related Courses
-
IBM Cognos Analytics: Author Reports Fundamentals (V11.1.x)
B6258G- Duration: 24 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 2,445.00 USD
-
IBM Cognos Analytics: Author Reports Advanced (V11.1.x)
B6259G- Duration: 16 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 1,630.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 365 DAYS TO ACCESS THE COURSE.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
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After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
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If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.
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