Module 1: Introduction to Business Intelligence and Data ModelingThis 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
After completing this module, students will be able to:
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Describe BI scenarios, trends, and project roles.
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Describe the products that make up the Microsoft BI platform.
Module 2: Creating Multidimensional DatabasesThis 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
After completing this module, you will be able to:
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Describe considerations for a multidimensional database.
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Create data sources and data source views.
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Create a cube
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Implement security in a multidimensional database.
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Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
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Monitor SSAS performance.
Module 3: Working with Cubes and DimensionsThis 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
After completing this module, you will be able to:
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Configure dimensions.
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Define attribute hierarchies.
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Implement sorting and grouping for attributes.
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Implement slowly changing dimensions.
Module 4: Working with Measures and Measure GroupsThis 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
After completing this module, you will be able to:
Module 5: Introduction to MDXThis 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
After completing this module, you will be able to:
Module 6: Customizing Cube FunctionalityThis 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
After completing this module, you will be able to:
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Implement KPIs in a Multidimensional database
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Implement Actions in a Multidimensional database
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Implement perspectives in a Multidimensional database
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Implement translations in a Multidimensional database
Module 7: Implementing a Tabular Data Model by Using Analysis ServicesThis 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.
After completing this module, students will be able to:
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Describe tabular data models
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Describe how to create a tabular data model
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Use an Analysis Services Tabular 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
Lab : Creating Calculated Columns and Measures by using DAX
- Creating Calculated Columns
- Creating Measures
- Creating a KPI
- Creating a Parent – Child Hierarchy
After completing this module, students will be able to:
Module 9: Performing Predictive Analysis with Data MiningThis 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
After completing this module, students will be able to:
- Describe considerations for data mining
- Create a data mining model
- Validate a data mining model
- Connect to a data-mining model
- Use the data mining add-in for Excel
