IBM B5252G - IBM Cognos Framework Manager: Design Metadata Models (v10.2)

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Tipologie Seminar
Ort Berlin
  • Seminar
  • Berlin

IBM Cognos Framework Manager: Design Metadata Models (V10.2) is a five-day, instructor-led online course that provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using 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.


Wo und wann

Beginn Lage
auf Anfrage
Berlin, Deutschland
Beginn auf Anfrage
Berlin, Deutschland


    Overview of IBM Cognos BI
    Discuss IBM Cognos and Performance Management
    Describe IBM Cognos components
    Describe IBM Cognos architecture at a high level
    Define IBM Cognos groups and roles
    Explain how to extend IBM Cognos
    Identify Common Data Structures
    Examine the characteristics of operational databases and databases designed for reporting
    Examine relationships and cardinality
    Identify different data traps
    Examine dimensional data sources
    Gather Requirements
    Examine key modeling recommendations
    Define reporting requirements
    Explore data sources to identify data access strategies
    Create a Baseline Project
    Examine the IBM Cognos BI and Framework Manager workflow processes
    Define a project and its structure
    Describe the Framework Manager environment
    Create a baseline project
    Enhance the model with additional metadata
    Prepare Reusable Metadata
    Identify facts and dimensions
    Examine relationships, and data traps
    Verify relationships and query item properties
    Ensure efficient filters by configuring prompt properties
    Model for Predictable Results: Identify Reporting Issues
    Describe multi-fact queries and when full outer joins are appropriate
    Describe how IBM Cognos BI uses cardinality
    Identify reporting traps
    Use tools to analyze the model
    Model for Predictable Results: Virtual Star Schemas
    Identify the advantages of modeling metadata as a star schema
    Model in layers
    Create aliases to avoid ambiguous joins
    Merge query subjects to create as view behavior
    Model for Predictable Results: Consolidate Metadata
    Create virtual facts to simplify writing queries
    Create virtual dimensions to resolve fact-to-fact joins
    Create a consolidated modeling layer for presentation purposes
    Consolidate snowflake dimensions with model query subjects
    Simplify facts by hiding unnecessary codes
    Calculations and Filters
    Use calculations to create commonly-needed query items for authors
    Use static filters to reduce the data returned
    Use macros and parameters in calculations and filters to dynamically control the data returned
    Implement a Time Dimension
    Make time-based queries simple to author by implementing a time dimension
    Resolve confusion caused by multiple relationships between a time dimension and another table
    Specify Determinants
    Use determinants to specify multiple levels of granularity and prevent double-counting
    Create the Presentation View
    Identify the dimensions associated with a fact table
    Identify conformed vs. non-conformed dimensions
    Create star schema groupings to provide authors with logical groupings of query subjects
    Rapidly create a model using the Model Design Accelerator
    Work with Different Query Subject Types
    Identify key differences and recommendations for using data source, model, and stored procedure query subjects
    Identify the effects on generated SQL when modifying query subjects, SQL settings and relationships
    Set Security in Framework Manager
    Examine the IBM Cognos BI security environment
    Restrict access to packages
    Create and apply security filters
    Restrict access to objects in the model
    Create Analysis Objects
    Apply dimensional information to relational Metadata to enable OLAP-style queries
    Define members and member unique names
    Identify changes that impact a MUN
    Sort members for presentation and predictability
    Manage OLAP Data Sources
    Connect to an OLAP data source (cube) in a Framework Manager project
    Publish an OLAP model
    Publish a model with multiple OLAP data sources
    Publish a model with an OLAP data source and a relational data source
    Advanced Generated SQL Concepts and Complex Queries
    Governors that affect SQL generation
    Stitch query SQL
    Conformed and non-conformed dimensions in generated SQL
    Multi-fact/multi-grain stitch query SQL
    Variances in Report Studio generated SQL
    Dimensionally modeled relational SQL generation
    Cross join SQL
    Various results sets for multi-fact queries
    Use Advanced Parameterization Techniques in Framework Manger
    Identify environment and model session parameters
    Leverage session, model, and custom parameters
    Create prompt macros
    Leverage macro functions associated with security
    Model Maintenance and Extensibility
    Perform basic maintenance and management on a model
    Remap metadata to another source
    Import and link a second data source
    Run scripts to automate or update a model
    Create a model report
    Optimize and Tune Framework Manager Models
    Identify and implement techniques to optimize and tune your Framework Manager models
    Use Dynamic Query Mode in Framework Manager
    Work in a Multi-Modeler Environment
    Segment and link a project
    Branch a project and merge results
    Manage Framework Manager Packages
    Specify package languages and function sets
    Control model versioning
    Nest packages
    Appendix A: Employ Additional Modeling Techniques
    Leverage a user defined function
    Set the order of operations in a model calculation
    Externalize query subjects
    Prepare IBM Cognos 10 content for use as a data source in Transformer
    Create query sets
    Use external source control through Windows Explorer
    Appendix B: Model Multilingual Metadata
    Customize metadata for a multilingual audience
    Appendix C: Additional Resources
    Links to sites where the customer can find more information about course-related material.

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