Developing SQL Data Models
Description
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.
Intended audience
The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions.
Primary responsibilities will include:
• Implementing multidimensional databases by using SQL Server Analysis Services
• Creating tabular semantic data models for analysis by using SQL Server Analysis Services
Topics
Module 1: Introduction to Business Intelligence and Data Modeling
Introduction to Business Intelligence
The Microsoft business intelligence platform
Lab : Exploring a BI Solution
Module 2: Creating Multidimensional Databases
Introduction to Multidimensional Analysis
Data Sources and Data Source Views
Cubes
Overview of Cube Security
Configure SSAS
Monitoring SSAS
Lab : Creating a multidimensional database
Module 3: Working with Cubes and Dimensions
Configuring Dimensions
Defining Attribute Hierarchies
Implementing Sorting and Grouping Attributes
Slowly Changing Dimensions
Lab : Working with Cubes and Dimensions
Module 4: Working with Measures and Measure Groups
Working with Measures
Working with Measure Groups
Lab : Configuring Measures and Measure Groups
Module 5: Introduction to MDX
MDX fundamentals
Adding Calculations to a Cube
Using MDX to Query a Cube
Lab : Using MDX
Module 6: Customizing Cube Functionality
Implementing Key Performance Indicators
Implementing Actions
Implementing Perspectives
Implementing Translations
Lab : Customizing a Cube
Module 7: Implementing a Tabular Data Model by Using Analysis Services
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
Module 8: Introduction to Data Analysis Expression (DAX)
DAX Fundamentals
Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
Lab : Creating Calculated Columns and Measures by using DAX
Module 9: Performing Predictive Analysis with Data Mining
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
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