20768EX: Developing SQL Server 2016 Data Models in SSAS (plus one day)

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

Lab: Exploring a Data Warehouse

After completing this module, you will be able to:

• Describe the concept of business intelligence
• Describe the Microsoft business intelligence platform

Module 2: Creating Multidimensional Databases

This module describes the steps required to create a multidimensional database with analysis services.

Lessons

• Introduction to multidimensional analysis
• Creating data sources and data source views
• Creating a cube
• Overview of cube security

Lab: Creating a multidimensional database

After completing this module, you will be able to:

• Use multidimensional analysis
• Create data sources and data source views
• Create a cube
• Describe cube security

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons

• Configuring dimensions
• Define attribute hierarchies
• Sorting and grouping attributes

Lab: Working with Cubes and Dimensions

After completing this module, you will be able to:

• Configure dimensions
• Define attribute hierarchies.
• Sort and group attributes

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

Lab: Configuring Measures and Measure Groups

After completing this module, you will be able to:

• Work with measures
• Work with measure groups

Module 4.1: Optimizing and Managing Multidimensional Databases (Additional Topic)

This module describes how to deploy and optimize multidimensional databases post deployment.

Lessons:

• Deploying an SSAS database
  • Overview of deployment options
  • Practice deploying a sample database
• Processing the Database Post Deployment
  • Using SSIS Process tasks
  • Deploying SSIS projects
  • Scheduling SSIS packages
• Optimizing a Multidimensional Database
  • Configuring the SSAS instance for Usage Based Optimization
  • Performing Usage Based Optimization
• Instructor Led Practice

After completing this module, you will be able to:

• Deploy a multidimensional database
• Use SSIS packages to manage SSAS databases
• Perform usage based optimization of Aggregations

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

Lab: Using MDX

After completing this module, you will be able to:

• Describe the fundamentals of MDX
• Add calculations to a cube
• Query a cube using MDX

Module 5.1: Intermediate MDX (Additional Topic)

This module describes in detail the underlying terminology and functionality of MDX allowing students to better write MDX queries and expressions.

Lessons:

• Understanding Members, Tuples, Sets and how they work
• Working with Hierarchies and member “family” functions
• Working with Common MDX Functions
• Creating Named Sets and Custom Calculations
• Instructor Led Hands On Practices with MD Queries and Expressions

After completing this module, you will be able to:

• Describe when to use members, tuples, and sets
• Write more complex MDX queries and expressions
• Create named sets and calculated members

Module 6: 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

After completing this module, you will be able to:

• Implement key performance indicators
• Implement actions
• Implement perspectives
• Implement translations

Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in PowerPivot.

Lessons:

• Introduction to tabular data models
• Creating a tabular data model
• Using an analysis services tabular model in an enterprise BI solution

Lab: Working with an Analysis services tabular data model

After completing this module, you will be able to:

• Describe tabular data models
• Create a tabular data model
• Be able to use 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
• Going deeper into DAX
• Creating KPIs

Lab: Creating Calculated Columns and Measures by using DAX

After completing this module, you will be able to:

• Describe the fundamentals of DAX
• Use DAX to create calculated columns and measures in a tabular data model
• Create KPIs in tabular data models

Module 9: Connecting to SSAS databases (Additional Topic)

This module describes how to use various tools to connect to SSAS multidimensional and Tabular databases.