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.

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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)

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Delegates will learn how to

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

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Outline

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

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Why choose QA

Dates & Locations

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QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

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When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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