Developing SQL Data Models (20768)
Cours disponible en français ou en anglais - Training available in French or in English
Durée: 3 jours
Objectifs du cours : The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.
Compétences acquises :
Module 1: Introduction to Business Intelligence and Data Modeling
This module introduces key BI concepts and the Microsoft BI product suite.
Lessons
This module describes how to create multidimensional databases using SQL Server Analysis Services.
Lessons
Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.
Lessons
Module 4: Working with Measures and Measure Groups
This module describes how to implement measures and measure groups in a cube.
Lessons
Module 5: Introduction to MDX
This module describes the MDX syntax and how to use MDX.
Lessons
Module 6: Customizing Cube Functionality
This module describes how to customize a cube.
Lessons
Module 7: Implementing a Tabular Data Model by Using Analysis Services
This module describes how to implement a tabular data model in Power Pivot.
Lessons
Module 8: 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
Module 9: Performing Predictive Analysis with Data Mining
This module describes how to use data mining for predictive analysis.
Lessons
Connaissances requises :
In addition to their professional experience, students who attend this training should already have the following technical knowledge:
Cours disponible en français ou en anglais - Training available in French or in English
Durée: 3 jours
Objectifs du cours : The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.
Compétences acquises :
Module 1: 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
This module describes how to create multidimensional databases using SQL Server Analysis Services.
Lessons
- Introduction to Multidimensional Analysis
- Creating Data Sources and Data Source Views
- Creating a Cube
- Overview of Cube Security
- Configure SSAS
- Monitoring SSAS
Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.
Lessons
- Configuring Dimensions
- Defining Attribute Hierarchies
- Sorting and Grouping Attributes
- Slowly Changing Dimensions
Module 4: 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
Module 5: 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
Module 6: Customizing Cube Functionality
This module describes how to customize a cube.
Lessons
- Introduction to Business Intelligence
- The Implementing Key Performance Indicators
- Implementing Actions
- Implementing Perspectives
- Implementing Translations
Module 7: 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
Module 8: 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
Module 9: 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
Connaissances requises :
In addition to their professional experience, students who attend this training should already have the following technical knowledge:
- Basic knowledge of the Microsoft Windows operating system and its core functionality.
- Working knowledge of Transact-SQL.
- Working knowledge of relational databases.
- Some experience with database design.