Visão Geral
O
foco deste curso de 24h dias, ministrado por um instrutor certificado pela Microsoft,
focado em criação de soluções de BI corporativas gerenciadas. Ele descreve
como implementar os modelos de dados multidimensionais e tabulares e como criar
cubos, dimensões, medidas e grupos de medidas. Este curso ajuda você a se
preparar para o Exame 70-768.
Publico Alvo
O público principal deste curso são profissionais de banco de dados que precisam cumprir a função de Desenvolvedor de BI para criar soluções de BI corporativas.
As responsabilidades principais incluem:
- Implementar bancos de dados multidimensionais usando o SQL Server Analysis Services.
- Criar modelos de dados semânticos tabulares para análise usando o SQL Server Analysis Services.
Conteúdo Programatico
Introduction to Business Intelligence and Data Modeling
- This module introduces key BI concepts and the Microsoft BI product suite.
Lessons
- Introduction to Business Intelligence
- The Microsoft business intelligence platform
Lab : Exploring a BI Solution
- Exploring a Data Warehouse
- Exploring a data model
Creating Multidimensional Databases
- This module describes how to create multidimensional databases using SQL Server Analysis Services.
Lessons
- Introduction to Multidimensional Analysis
- Data Sources and Data Source Views
- Cubes
- Overview of Cube Security
- Configure SSAS
- Monitoring SSAS
Lab : Creating a multidimensional database
- Creating a Data Source
- Creating and Configuring a data Source View
- Creating and Configuring a Cube
- Adding a Dimension to a Cube
Working with Cubes and Dimensions
- This module describes how to implement dimensions in a cube.
Lessons
- Configuring Dimensions
- Defining Attribute Hierarchies
- Implementing Sorting and Grouping Attributes
- Slowly Changing Dimensions
Lab : Working with Cubes and Dimensions
- Configuring Dimensions
- Defining Relationships and Hierarchies
- Sorting and Grouping Dimension Attributes
Working with Measures and Measure Groups
- This module describes how to implement measures and measure groups in a cube.
Lessons
- Working with Measures
- Working with Measure Groups
Lab : Configuring Measures and Measure Groups
- Configuring Measures
- Defining Regular Relationships
- Configuring Measure Group Storage
Introduction to MDX
- This module describes the MDX syntax and how to use MDX.
Lessons
- MDX fundamentals
- Adding Calculations to a Cube
- Using MDX to Query a Cube
Lab : Using MDX
- Querying a cube using MDX
- Adding a Calculated Member
Customizing Cube Functionality
- This module describes how to customize a cube.
Lessons
- Implementing Key Performance Indicators
- Implementing Actions
- Implementing Perspectives
- Implementing Translations
Lab : Customizing a Cube
- Implementing an action
- Implementing a perspective
- Implementing a translation
Implementing a Tabular Data Model by Using Analysis Services
- This module describes how to implement a tabular data model in Power Pivot.
Lessons
- Introduction to Tabular Data Models
- Creating a Tabular Data Model
- Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
Lab : Working with an Analysis Services Tabular Data Model
- Creating an Analysis Services Tabular Data Model
- Configure Relationships and Attributes
- Configuring Data Model for an Enterprise BI Solution.
Introduction to Data Analysis Expression (DAX)
- This module describes how to use DAX to create measures and calculated columns in a tabular data model.
Lessons
- DAX Fundamentals
- Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
Lab : Creating Calculated Columns and Measures by using DAX
- Creating Calculated Columns
- Creating Measures
- Creating a KPI
- Creating a Parent – Child Hierarchy
Performing Predictive Analysis with Data Mining
- This module describes how to use data mining for predictive analysis.
Lessons
- Overview of Data Mining
- Creating a Custom Data Mining Solution
- Validating a Data Mining Model
- Connecting to and Consuming a Data-Mining Model
- Using the Data Mining add-in for Excel
Lab : Using Data Mining
- Creating a Data Mining Structure and Model
- Exploring Data Mining Models
- Validating Data Mining Models
- Consuming a Data Mining Model
- Using the Excel Data Mining add-in