Microsoft® SQL Server™ 2005 Analysis Services (MOC 2791)

Course overview

This 3-day instructor-led course teaches students how to implement an Analysis Services solution in an organization. The course discusses how to use the Analysis Services development tools to create an Analysis Services database and an OLAP cube, and how to use the Analysis Services management and administrative tools to manage an Analysis Services solution.

Prerequisites

Before attending this course, students must have:

• Conceptual understanding of OLAP solutions
• Experience navigating the Microsoft Windows Server environment
• Experience with Windows services(starting and stopping)
• Experience creating service accounts and permissions

Experience with Microsoft SQL Server, including:

• SQL Server Agent
• SQL Server query language (SELECT, UPDATE, INSERT, and DELETE)
• SQL Server System tables
• SQL Server accounts (users and permissions)

Audience

• This course is intended for information technology (IT) professionals and developers who need to implement analysis solutions by using Microsoft SQL Server 2005 Analysis Services

Ways to save

Course objectives

After completing this course, students will be able to:

• Describe how SQL Server Analysis Services can be used to implement analytical solutions
• Create multidimensional analysis solutions with SQL Server Analysis Services
• Implement dimensions in an Analysis Services solution
• Implement measures and measure groups in an Analysis Services solution
• Query a multidimensional Analysis Services solution
• Customize an Analysis Services cube
• Deploy and Secure an Analysis Services database
• Maintain a multidimensional Analysis Services solution
• Implement a Data Mining solution

Course outline

Module 1: Introduction to Microsoft SQL Server 2005 Analysis Services

Lessons

• Overview of Data Analysis Solutions
• Overview of SQL Server 2005 Analysis Services
• Installing SQL Server 2005 Analysis Services

After completing this module, students will be able to:

• Describe data analysis solutions
• Describe the key features of SQL Server 2005 Analysis Services
• Install SQL Server 2005 Analysis Services

Module 2: Creating Multidimensional Analysis Solutions

Lessons

• Developing Analysis Services Solutions
• Data Sources and Data Source Views
• Creating a Cube

Lab 2: Creating a Multidimensional Analysis Solution

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

After completing this module, students will be able to:

• Develop Analysis Services solutions
• Create a data source and a data source view
• Create a cube

Module 3: Working with Dimensions

Lessons

• Configuring Dimensions
• Defining Hierarchies
• Sorting and Grouping Attributes

Lab 3: Defining Dimensions

• Configuring Dimensions
• Defining Relationships and Hierarchies
• Sorting and Grouping Dimension Attributes

After completing this module, students will be able to:

• Configure dimensions
• Define hierarchies
• Sort and group attributes

Module 4: Working with Measures and Measure Groups

Lessons

• Working with Measures
• Working with Measure Groups

Lab 4: Configuring Measures and Measure Groups

• Configuring Measures
• Defining Dimension Usage and Relationships
• Configuring Measure Group Storage

After completing this module, students will be able to:

• Work with measures
• Work with measure groups

Module 5: Querying Multidimensional Analysis Solutions

Lessons

• MDX Fundamentals
• Adding Calculations to a Cube

Lab 5: Querying a Cube

• Querying a Cube by Using MDX
• Creating a Calculated Member
• Defining a Named Set

After completing this module, students will be able to:

• Describe Multidimensional Expression (MDX) fundamentals
• Add calculations to a cube

Module 6: Customizing Cube Functionality

Lessons

• Implementing Key Performance Indicators
• Implementing Actions
• Implementing Perspectives
• Implementing Translations

Lab 6: Customizing Cube

• Implementing a KPI
• Implementing an Action
• Implementing a Perspective
• Implementing a Translation

After completing this module, students will be able to:

• Implement Key Performance Indicators (KPIs)
• Implement actions
• Implement perspectives
• Implement translations

Module 7: Deploying and Securing an Analysis Services Database

Lessons

• Deploying an Analysis Services Database
• Securing an Analysis Services Database

Lab 7: Deploying and Securing an Analysis Services Database

• Deploying an Analysis Services Database
• Securing an Analysis Services Database

After completing this module, students will be able to:

• Deploy an Analysis Services database
• Secure an Analysis Services database

Module 8: Maintaining a Multidimensional Solution

Lessons

• Configuring Processing Settings
• Logging, Monitoring, and Optimizing an Analysis Services Solution
• Backing Up and Restoring an Analysis Services Database

Lab 8: Maintaining an Analysis Services Database

• Configuring Processing
• Implementing Logging and Monitoring
• Backing Up and Restoring an Analysis Services Database

After completing this module, students will be able to:

• Configure processing settings
• Log, monitor, and optimize an Analysis Services solution
• Back up and restore an Analysis Services database

Module 9: Introduction to Data Mining

Lessons

• Overview of Data Mining
• Creating a Data Mining Solution
• Validating Data Mining Models

Lab 9: Implementing Data Mining

• Creating a Data Mining Structure
• Adding a Data Mining Model
• Exploring Data Mining Models
• Validating Data Mining Models

After completing this module, students will be able to:

• Describe data mining
• Create a data mining solution
• Validate data mining models