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.
Target Audience:
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.
Pre-requisites:
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).
At Course Completion:
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.
Module 1: Introduction to Microsoft SQL Server Analysis Services
This 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.
Lessons
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
After completing this module, students will be able to:
Describe data analysis solutions.
Describe the key features of SQL Server Analysis Services.
This 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.
This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube.
This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
Lessons
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
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
This module describes how to deploy an Analysis Services database to a production server, and how to implement security in an Analysis Services multidimensional solution.
Lessons
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
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
This 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.
Lessons
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
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
This module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy.
Lessons
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
After completing this module, students will be able to:
