Providing Technology Training and Mentoring For Modern Technology Adoption
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.
After completing this course, students will be able to:
Before attending this course, students must have:
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.
Module 1: Introduction to Microsoft SQL Server Analysis ServicesThis module introduces common analysis scenarios and describes how Analysis Services provides a powerful platform for multidimensional OLAP solutions and data mining solutions. The module then describes the main considerations for installing Analysis Services.
Lab: Using SQL Server Analysis Services
After completing this module, students will be able to:
Module 2: Creating Multidimensional Analysis SolutionsThis module introduces the development tools you can use to create an Analysis Services multidimensional analysis solution, and describes how to create data sources, data source views, and cubes.
Lab: Creating Multidimensional Analysis Solutions
Module 3: Working with Cubes and DimensionsThis module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
Lab: Working with Cubes and Dimensions
Module 4: Working with Measures and Measure GroupsThis module explains how to edit and configure measures and measure groups.
Lab: Working with Measures and Measure Groups
Module 5: Querying Multidimensional Analysis SolutionsThis module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube.
Lab: Querying Multidimensional Analysis Solutions
Module 6: Customizing Cube FunctionalityThis module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
Lab: Customizing Cube Functionality
Module 7: Deploying and Securing an Analysis Services DatabaseThis module describes how to deploy an Analysis Services database to a production server, and how to implement security in an Analysis Services multidimensional solution.
Lab: Deploying and Securing an Analysis Services Database
Module 8: Maintaining a Multidimensional SolutionThis module discusses the maintenance tasks associated with an Analysis Services solution, and describes how administrators can use the Analysis Services management tools to perform them.
Lab: Maintaining a Multidimensional Solution
Module 9: Introduction to Data MiningThis module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy.
Lab: Introduction to Data Mining