Course Description
This course provides students with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using Framework Manager.
Developers
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 C
Comments
Virtual B5252 IBM Cognos Framework Manager: Design Metadata Models (V10.2) Online Live training option
Imagine an industry-leading classroom training experience from wherever you have access to the Internet.
The Virtual Online Live events listed here gives you an effective and proven online virtual learning experience with the freedom to attend virtually from anywhere.
There is also an option of experiencing Online Live from one of the many national partner centers where a computer and headset will be provided for you.
This rich and engaging virtual classroom environment lets you conveniently interact with instructors and other students.
You will hear and see your instructor as they teach the course and answer your questions via voice or text.
Choose the online live virtual training option and you can access the recorded version even after the class has finished.
The onDemand labs give you access to the same client and server technologies covered in class so you can test, apply and hone your skills by accessing the labs before and even after the class.
Technical Requirements: a computer or laptop with a modern browser and high speed internet access along with one or two monitors.