Visão Geral

A IBMO Cognos Framework é uma ferramenta de modelagem de metadados que impulsiona a geração de consultas para o software IBM Cognos. Uma instância séria é um conjunto de metadados que inclui informações físicas e dados de ocupação para uma ou mais fontes de dados. O software IBM Cognos permite o gerenciamento de desempenho em fontes de dados relacionais normalizadas e desnormalizadas e uma variedade de fontes de dados OLAP. Objetivos do curso: Executar instalação e configuração de um servidor único ou servidor distribuído da ferramenta IBM Cognos BI. Explore o Framework Manager e o Cognos Administration. Aplique informações dimensionais a metadados relacionais para habilitar perguntas no estilo OLAP. Saiba mais sobre o pacote DMR e como publicar novos pacotes. Examine o ambiente de segurança do IBM Cognos BI. Identifique e implemente técnicas para otimizar e ajustar seus modelos do Framework Manager. Obtenha SQL minimizado. Examine o Query Studio, o Report Studio e sua interface de área de trabalho. Crie vários tipos de Relatórios usando a ferramenta Cognos. Entenda as consultas multifato, multigrão e de costura. Obtenha uma visão geral sobre o modo de consulta dinâmica. Como amassar em um ambiente multi-modelador. Edite uma instrução SQL para criar consultas personalizadas. Gerencie os caches no Cognos Administration. Entenda os Determinantes.

Objetivo

Após concluir o Curso IBM Cognos Framework, você será capaz de:

• Discutir o IBM Cognos e o gerenciamento de desempenho
• Descrever os componentes do IBM Cognos
• Descrever a arquitetura do IBM Cognos em alto nível
• Definir grupos e funções do IBM Cognos
• Explicar como estender o IBM Cognos

Pre-Requisitos

• Experiência no uso do sistema operacional Windows.
• Experiência usando um navegador da web.
• Conhecimento básico de SQL e SGBD.

Informações Gerais

Carga Horária: 40h

• Se noturno este curso é ministrado de Segunda-feira à sexta-feira, das 19h às 23h
• Se aos sábados este curso é ministrado das 9h às 18h
• Se in-company por favor fazer contato para mais detalhes.

Formato de entrega: 

• 100% on-line ao vivo, via Microsoft Teams na presença de um instrutor/consultor ativo no mercado.
• Nota: não é curso gravado. 

Lab:

• Laboratório + Exercícios práticos

Materiais

Conteúdo Programatico

Overview of IBM Cognos BI

1. Discuss IBM Cognos and Performance Management
2. Describe IBM Cognos components
3. Describe IBM Cognos architecture at a high level
4. Define IBM Cognos groups and roles
5. Explain how to extend IBM Cognos

Identify Common Data Structures

1. Examine the characteristics of operational databases and databases designed for reporting
2. Examine relationships and cardinality
3. Identify different data traps
4. Examine dimensional data sources

Gather Requirements

1. Examine key modeling recommendations
2. Define reporting requirements
3. Explore data sources to identify data access strategies

Create a Baseline Project

1. Examine the IBM Cognos BI and Framework Manager workflow processes
2. Define a project and its structure
3. Describe the Framework Manager environment
4. Create a baseline project
5. Enhance the model with additional metadata

Prepare Reusable Metadata

1. Identify facts and dimensions
2. Examine relationships, and data traps
3. Verify relationships and query item properties
4. Ensure efficient filters by configuring prompt properties

Model for Predictable Results: Identify Reporting Issues

1. Describe multi-fact queries and when full outer joins are appropriate
2. Describe how IBM Cognos BI uses cardinality
3. Identify reporting traps
4. Use tools to analyze the model

Model for Predictable Results: Virtual Star Schemas

1. Identify the advantages of modeling metadata as a star schema
2. Model in layers
3. Create aliases to avoid ambiguous joins
4. Merge query subjects to create as view behavior

Model for Predictable Results: Consolidate Metadata

1. Create virtual facts to simplify writing queries
2. Create virtual dimensions to resolve fact-to-fact joins
3. Create a consolidated modeling layer for presentation purposes
4. Consolidate snowflake dimensions with model query subjects
5. Simplify facts by hiding unnecessary codes

Calculations and Filters

1. Use calculations to create commonly-needed query items for authors
2. Use static filters to reduce the data returned
3. Use macros and parameters in calculations and filters to dynamically control the data returned

Implement a Time Dimension

1. Make time-based queries simple to author by implementing a time dimension
2. Resolve confusion caused by multiple relationships between a time dimension and another table

Specify Determinants

1. Use determinants to specify multiple levels of granularity and prevent double-counting

Create the Presentation View

1. Identify the dimensions associated with a fact table
2. Identify conformed vs. non-conformed dimensions
3. Create star schema groupings to provide authors with logical groupings of query subjects
4. Rapidly create a model using the Model Design Accelerator

Work with Different Query Subject Types

1. Identify key differences and recommendations for using data source, model, and stored procedure query subjects
2. Identify the effects on generated SQL when modifying query subjects, SQL settings and relationships

Set Security in Framework Manager

1. Examine the IBM Cognos BI security environment
2. Restrict access to packages
3. Create and apply security filters
4. Restrict access to objects in the model

Create Analysis Objects

1. Apply dimensional information to relational Metadata to enable OLAP-style queries
2. Define members and member unique names
3. Identify changes that impact a MUN
4. Sort members for presentation and predictability

Manage OLAP Data Sources

1. Connect to an OLAP data source (cube) in a Framework Manager project
2. Publish an OLAP model
3. Publish a model with multiple OLAP data sources
4. Publish a model with an OLAP data source and a relational data source

Advanced Generated SQL Concepts and Complex Queries

1. Governors that affect SQL generation
2. Stitch query SQL
3. Conformed and non-conformed dimensions in generated SQL
4. Multi-fact/multi-grain stitch query SQL
5. Variances in Report Studio generated SQL
6. Dimensionally modeled relational SQL generation
7. Cross join SQL
8. Various results sets for multi-fact queries

Use Advanced Parameterization Techniques in Framework Manger

1. Identify environment and model session parameters
2. Leverage session, model, and custom parameters
3. Create prompt macros
4. Leverage macro functions associated with security

Model Maintenance and Extensibility

1. Perform basic maintenance and management on a model
2. Remap metadata to another source
3. Import and link a second data source
4. Run scripts to automate or update a model
5. Create a model report

Optimize and Tune Framework Manager Models

1. Identify and implement techniques to optimize and tune your Framework Manager models
2. Use Dynamic Query Mode in Framework Manager

Work in a Multi-Modeler Environment

1. Segment and link a project
2. Branch a project and merge results

Manage Framework Manager Packages

1. Specify package languages and function sets
2. Control model versioning
3. Nest packages

Appendix A: Employ Additional Modeling Techniques

1. Leverage a user defined function
2. Set the order of operations in a model calculation
3. Externalize query subjects
4. Prepare IBM Cognos 10 content for use as a data source in Transformer
5. Create query sets
6. Use external source control through Windows Explorer

Appendix B: Model Multilingual Metadata

1. Customize metadata for a multilingual audience

Appendix C: Additional Resources

1. Links to sites where the customer can find more information about course-related material.