SQL Development

Course overview

This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.

This course replaces MS-20466.

Course Duration

3 Days

Cost

Audience

Implementing multidimensional databases by using SQL Server Analysis Services

Creating tabular semantic data models for analysis by using SQL Server Analysis ServicesThe secondary audiences for this course are ‘power’ information workers/data analysts.

Prerequisites

Before attending this course, students must have:

Experience of querying data using Transact-SQL

Course Content

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 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 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

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

 

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: Perform Predictive Analysis with Data Mining

After completing this module, you will be able to:

Describe data mining

Use the data mining add-in for Excel

Create a custom data mining solution

Validate a data mining solution

Connect to and consume a data mining solution

Enroll now

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