About this Workshop
This workshop provides participants with the knowledge and skills 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.
Duration
3 days
Upon Completion
· 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
Workshop Agenda
1: Introduction to Microsoft SQL Server Analysis Services
· Overview of Data Analysis Solutions
· Overview of SQL Server Analysis Services
· Installing SQL Server Analysis Services
2: Creating Multidimensional Analysis Solutions
· Developing Analysis Services Solutions
· Creating Data Sources and Data Source Views
· Creating a Cube
3: Working with Cubes and Dimensions
· Configuring Dimensions
· Defining Attribute Hierarchies
· Sorting and Grouping Attributes
4: Working with Measures and Measure Groups
· Working With Measures
· Working with Measure Groups
5: Querying Multidimensional Analysis Solutions
· MDX Fundamentals
· Adding Calculations to a Cube
6: Customizing Cube Functionality
· Implementing Key Performance Indicators
· Implementing Actions
· Implementing Perspectives
· Implementing Translations
7: Deploying and Securing an Analysis Services Database
· Deploying an Analysis Services Database
· Securing an Analysis Services Database
8: Maintaining a Multidimensional Solution
· Configuring Processing
· Logging, Monitoring, and Optimizing an Analysis Services Solution
· Backing Up and Restoring an Analysis Services Database
· Controlling Execution Context
9: Introduction to Data Mining
· Overview of Data Mining
· Creating a Data Mining Solution
· Validating Data Mining Models
