Course Description
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.
Agenda
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.
Prerequisites
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). In addition, it is recommended, but not required, that students have completed:
Course 6231: Maintaining a Microsoft SQL Server 2008 Database. Course 6232: Implementing a Microsoft SQL Server 2008 Database. Course Completion Skills:
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. Exam Certification
This course is recommended for exam 70-448 for the following certifications:
1. MCTS: Microsoft SQL Server 2008, Business Intelligence Development and Maintenance
Required Exam: 70-448 2. MCITP: Business Intelligence Developer 2008
*Required Exams: 70-448 70-452 *Multiple exams can be taken in any order
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
Installing SQL Server Analysis Services Verifying Installation After Completing This Goal, Students will be Able To
Describe data analysis solutions. Describe the key features of SQL Server Analysis Services. Install SQL Server Analysis Services. Module 2 Creating Multidimensional Analysis Solutions
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.
Lessons
Developing Analysis Services Solutions Creating Data Sources and Data Source Views Creating a Cube Lab: Creating Multidimensional Analysis Solutions
Creating a Data Source Creating and Modifying a Data Source View Creating and Modifying a Cube After Completing This Goal, Students will be Able To
Develop Analysis Services solutions. Create a data source and a data source view. Create a cube. Module 3 Working with Cubes and Dimensions
This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
Lessons
Configuring Dimensions Defining Attribute Hierarchies Sorting and Grouping Attributes Lab: Working with Cubes and Dimensions
Configuring Dimensions Defining Relationships and Hierarchies Sorting and Grouping Dimension Attributes After Completing This Goal, Students will be Able To
Configure dimensions. Define hierarchies. Sort and group attributes. Module 4 Working with Measures and Measure Groups
This module explains how to edit and configure measures and measure groups.
Lessons
Working With Measures Working with Measure Groups Lab: Working with Measures and Measure Groups
Configuring Measures Defining Dimension Usage and Relationships Configuring Measure Group Storage After Completing This Goal, Students will be Able To
Work with measures. Work with measure groups. Module 5 Querying Multidimensional Analysis Solutions
This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube.
Lessons
MDX Fundamentals Adding Calculations to a Cube Lab: Querying Multidimensional Analysis Solutions
Querying a Cube by Using MDX Creating a Calculated Member Defining a Named Set After Completing This Goal, Students will be Able To
Describe Multidimensional Expression (MDX) fundamentals. Add calculations to a cube. Module 6 Customizing Cube Functionality
This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
Lessons
Implementing Key Performance Indicators (KPI) Implementing Actions Working with Perspectives Working with Translations Lab: Customizing Cube Functionality
Implementing a KPI Implementing an Action Implementing a Perspective Implementing a Translation After Completing This Goal, 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
Deploying an Analysis Services Database Securing an Analysis Services Database After Completing This Goal, 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
Configuring Processing Implementing Logging and Monitoring Backing Up and Restoring an Analysis Services Database After Completing This Goal, 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
Creating a Data Mining Structure Adding a Data Mining Model Exploring Data Mining Models Validating Data Mining Models After Completing This Goal, Students will be Able To
Describe data mining. Create a data mining solution. Validate data mining models.