IBM Cognos Framework

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IBM Cognos Framework Course Overview

The IBM Cognos Framework is a metadata modeling tool that drives query generation for IBM Cognos software. A serious instance is an assemblage of metadata that includes physical information and occupation data for one or more data sources. IBM Cognos software enables performance management on normalized and denormalized relational data sources and a variety of OLAP data sources. Course Objectives: Execute a single server or distributed server installation and configuration of the IBM Cognos BI tool. Explore Framework Manager and Cognos Administration. Apply dimensional information to relational Metadata to enable OLAP-style questions. Learn about the DMR package and how to publish new packages. Examine the IBM Cognos BI security environment. Identify and implement techniques to optimize and tune your Framework Manager models. Achieve minimized SQL. Examine Query Studio, Report Studio and its Work Area interface. Create various types of Reports using the Cognos tool. Understand Multi-fact, Multi-grain and Stitch Queries. Get an overview about the Dynamic Query Mode. How to knead in a Multi-Modeler Environment. Edit an SQL statement to author custom queries. Manage the caches in the Cognos Administration. Understand Determinants.

 

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You will learn:

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
  • Examine the characteristics of operational databases and databases designed for reporting
  • Examine relationships and cardinality
  • Identify different data traps
  • Examine dimensional data sources
  • Examine key modeling recommendations
  • Define reporting requirements
  • Explore data sources to identify data access strategies
  • 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
  • Identify facts and dimensions
  • Examine relationships, and data traps
  • Verify relationships and query item properties
  • Ensure efficient filters by configuring prompt properties
  • 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
  • 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
  • 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
  • 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
  • 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
  • Use determinants to specify multiple levels of granularity and prevent double-counting
  • 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
  • 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
  • Examine the IBM Cognos BI security environment
  • Restrict access to packages
  • Create and apply security filters
  • Restrict access to objects in the model
  • 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
  • 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
  • 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
  • Identify environment and model session parameters
  • Leverage session, model, and custom parameters
  • Create prompt macros
  • Leverage macro functions associated with security
  • 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
  • Identify and implement techniques to optimize and tune your Framework Manager models
  • Use Dynamic Query Mode in Framework Manager
  • Segment and link a project
  • Branch a project and merge results
  • Specify package languages and function sets
  • Control model versioning
  • Nest packages
  • 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
  • Customize metadata for a multilingual audience
  • Links to sites where the customer can find more information about course-related material.
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Course Prerequisites
  • Experience using the Windows operating system.
  • Experience using a web browser.
  • Basic knowledge of SQL and DBMS.

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