6234, Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

Instructor led, group-paced, classroom-delivery learning model with structured hands-on activities.

The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities. The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization.

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).

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 and cubes 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.

Module 1: Introduction to Microsoft SQL Server Analysis Services

Overview of Data Analysis Solutions
Overview of SQL Server Analysis Services
Installing SQL Server Analysis Services
Lab: Using SQL Server Analysis Services
(Level 200) Installing SQL Server Analysis Services
(Level 200) Verifying Installation

Module 2: Creating Multidimensional Analysis Solutions

Developing Analysis Services Solutions
Creating Data Sources and Data Source Views
Creating a Cube
Lab: Creating Multidimensional Analysis Solutions
(Level 200) Creating a Data Source
(Level 200) Creating and Modifying a Data Source View
(Level 200) Creating and Modifying a Cube

Module 3: Working with Cubes and Dimensions

Configuring Dimensions
Defining Attribute Hierarchies
Sorting and Grouping Attributes
Lab: Working with Cubes and Dimensions
(Level 200) Configuring Dimensions
(Level 200) Defining Relationships and Hierarchies
(Level 200) Sorting and Grouping Dimension Attributes

Module 4: Working with Measures and Measure Groups

Working With Measures
Working with Measure Groups
Lab: Working with Measures and Measure Groups
(Level 200) Configuring Measures
(Level 200) Defining Dimension Usage and Relationships
(Level 200) Configuring Measure Group Storage

Module 5: Querying Multidimensional Analysis Solutions

MDX Fundamentals
Adding Calculations to a Cube
Lab: Querying Multidimensional Analysis Solutions
(Level 200) Querying a Cube by Using MDX
(Level 200) Creating a Calculated Member
(Level 200) Defining a Named Set

Module 6: Customizing Cube Functionality

Implementing Key Performance Indicators
Implementing Actions
Implementing Perspectives
Implementing Translations
Lab: Customizing Cube Functionality
(Level 200) Implementing a KPI
(Level 200) Implementing an Action
(Level 200) Implementing a Perspective
(Level 200) Implementing a Translation

Module 7: Deploying and Securing an Analysis Services Database

Deploying an Analysis Services Database
Securing an Analysis Services Database
Lab: Deploying and Securing an Analysis Services Database
(Level 200) Deploying an Analysis Services Database
(Level 200) Securing an Analysis Services Database

Module 8: Maintaining a Multidimensional Solution

Configuring Processing
Logging, Monitoring, and Optimizing an Analysis Services Solution
Backing Up and Restoring an Analysis Services Database
Lab: Maintaining a Multidimensional Solution
(Level 200) Configuring Processing
(Level 200) Implementing Logging and Monitoring
(Level 200) Backing Up and Restoring an Analysis Services Database

Module 9: Introduction to Data Mining

Overview of Data Mining
Creating a Data Mining Solution
Validating Data Mining Models
Lab: Introduction to Data Mining
(Level 200) Creating a Data Mining Structure
(Level 200) Adding a Data Mining Model
(Level 200) Exploring Data Mining Models
(Level 200) Validating Data Mining Models

Infero Training Ltd is based in the Lace Market in Nottingham. Training courses take place at the following locations including Nottingham, Derby, Loughborough, Mansfield, Chesterfield, Burton-on-Trent, Lincoln, Leicester, Sheffield, Stoke-on-Trent, Tamworth, Wolverhampton, Walsall, Birmingham, Solihul, Coventry, Nuneaton, Peterborough, Grantham.