New Horizons Computer Learning Center
410-597-9722

2791: Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services (SSAS)

Course Length: 3 Days

Overview:
This three-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:
Writing Queries Using Microsoft SQL Server 2005 Transact-SQL
Course 2779: Implementing a Microsoft SQL Server 2005 Database
Course 2780: Maintaining a Microsoft SQL Server 2005 Database

Course Objectives:
Upon successful completion of 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 Content

Lesson 1: Introduction to Microsoft SQL Server 2005 Analysis Services

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

Lesson 2: Creating Multidimensional Analysis Solutions

• Developing Analysis Services Solutions
• Data Sources and Data Source Views
• Creating a Cube
• Lab 2: Creating a Multidimensional Analysis Solution
• Exercise 1: Creating a Data Source
• Exercise 2: Creating and Modifying a Data Source View
• Exercise 3: Creating and Modifying a Cube

Lesson 3: Working with Dimensions

• Configuring Dimensions
• Defining Hierarchies
• Sorting and Grouping Attributes
• Lab 3: Defining Dimensions
• Exercise 1: Configuring Dimensions
• Exercise 2: Defining Relationships and Hierarchies
• Exercise 3: Sorting and Grouping Dimension Attributes

Lesson 4: Working with Measures and Measure Groups

• Working with Measures
• Working with Measure Groups
• Lab 4: Configuring Measures and Measure Groups
• Exercise 1: Configuring Measures
• Exercise 2: Defining Dimension Usage and Relationships
• Exercise 3: Configuring Measure Group Storage

Lesson 5: Querying Multidimensional Analysis Solutions

• MDX Fundamentals
• Adding Calculations to a Cube
• Lab 5: Querying a Cube
• Exercise 1: Querying a Cube by Using MDX
• Exercise 2: Creating a Calculated Member
• Exercise 3: Defining a Named Set

Lesson 6: Customizing Cube Functionality

• Implementing Key Performance Indicators
• Implementing Actions
• Implementing Perspectives
• Implementing Translations
• Lab 6: Customizing a Cube
• Exercise 1: Implementing a KPI
• Exercise 2: Implementing an Action
• Exercise 3: Implementing a Perspective
• Exercise 4: Implementing a Translation

Lesson 7: Deploying and Securing an Analysis Services Database

• Deploying an Analysis Services Database
• Securing an Analysis Services Database
• Lab 7: Deploying and Securing an Analysis Services Database
• Exercise 1: Deploying an Analysis Services Database
• Exercise 2: Securing an Analysis Services Database

Lesson 8: Maintaining a Multidimensional Solution

• 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
• Exercise 1: Configuring Processing
• Exercise 2: Implementing Logging and Monitoring
• Exercise 3: Backing Up and Restoring an Analysis Services Database

Lesson 9: Introduction to Data Mining

• Overview of Data Mining
• Creating a Data Mining Solution
• Validating Data Mining Models
• Lab 9: Implementing Data Mining
• Exercise 1: Creating a Data Mining Structure
• Exercise 2: Adding a Data Mining Model
• Exercise 3: Exploring Data Mining Models
• Exercise 4: Validating Data Mining Models

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P: 410-597-9722
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