Developing SQL Data Models (#20768)
- Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC).
Module 1: Introduction to Business Intelligence and Data Modeling
This module introduces key BI concepts and the Microsoft BI product suite.
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Introduction to Business Intelligence
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The Microsoft business intelligence platform
Module 2: Creating Multidimensional Databases
This module describes how to create multidimensional databases using SQL Server Analysis Services.
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Introduction to Multidimensional Analysis
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Creating Data Sources and Data Source Views
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Creating a Cube
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Overview of Cube Security
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Configure SSAS
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Monitoring SSAS
Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.
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Configuring Dimensions
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Defining Attribute Hierarchies
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Sorting and Grouping Attributes
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Slowly Changing Dimensions
Module 4: Working with Measures and Measure Groups
This module describes how to implement measures and measure groups in a cube.
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Working with Measures
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Working with Measure Groups
Module 5: Introduction to MDX
This module describes the MDX syntax and how to use MDX.
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MDX fundamentals
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Adding Calculations to a Cube
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Using MDX to Query a Cube
Module 6: Customizing Cube Functionality
This module describes how to customize a cube.
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Introduction to Business Intelligence
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The Implementing Key Performance Indicators
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Implementing Actions
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Implementing Perspectives
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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.
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Introduction to Tabular Data Models
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Creating a Tabular Data Model
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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.
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DAX Fundamentals
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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.
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Overview of Data Mining
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Creating a Custom Data Mining Solution
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Validating a Data Mining Model
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Connecting to and Consuming a Data-Mining Model
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Using the Data Mining add-in for Excel