Developing SQL Data Models (20768B)

What’s included?

• Authorized Courseware
• Intensive Hands on Skills Development with an Experienced Subject Matter Expert
• Hands-on practice on real Servers and extended lab support 1.800.482.3172
• Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
• Academy Code of Honor: Test Pass Guarantee
• Optional: Package for Hotel Accommodations, Lunch and Transportation

Curriculum

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 BI Solution

Exploring a Data Warehouse
Exploring a data model

After completing this module, students will be able to:

Describe BI scenarios, trends, and project roles.
Describe the products that make up the Microsoft BI platform.

Module 2: Creating Multidimensional Databases
This module describes the steps required to create a multidimensional database 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

Lab: Creating a multidimensional database

Creating a Data Source
Creating and Modifying a Data Source View
Creating and Modifying a Cube

After completing this module, you will be able to:

Describe considerations for a multidimensional database.
Create data sources and data source views.
Create a cube
Implement security in a multidimensional database.
Configure SSAS to meet requirements including memory limits, NUMA, and disk layout.
Monitor SSAS performance.

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
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:

Configure dimensions.
Define attribute hierarchies.
Implement sorting and grouping for attributes.
Implement 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

Lab: Configuring Measures and Measure Groups

Configuring Measures
Defining Dimension Usage and Relationships
Configuring Measure Group Storage

After completing this module, you will be able to:

Configure measures
Configure 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

Lab: Using MDX

Querying a cube using MDX
Creating a Calculated Member

After completing this module, you will be able to:

Use basic MDX functions
Use MDX to add calculations to a cube
Use 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

Lab: Customizing a Cube

Implementing a KPI
Implementing an action
Implementing a perspective
Implementing a translation

After completing this module, you will be able to:

Implement KPIs in a Multidimensional database
Implement Actions in a Multidimensional database
Implement perspectives in a Multidimensional database
Implement translations in a Multidimensional database

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 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:

Describe tabular data models
Describe how to create a tabular data model
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:

Describe the key features of DAX
Create calculated columns and measures by using DAX

Module 9: Performing Predictive Analysis with Data Mining
This module describes how to use data mining for predictive analysis.

Lessons

Overview of data mining
Using the data mining add-in for Excel
Creating a custom data mining solution
Validating a data mining model
Connecting to and consuming a data mining model

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