6234 Implementing and Maintaining Microsoft SQL Server 2008
Analysis Services
About this Course
This three-day 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.
WE CAN CUSTOMIZE THIS COURSE FOR YOU, LEARN MORE.
Audience Profile
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.
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.
- Implement a Data Mining solution.
Course Outline
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 module, 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 module, 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 module, 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 module, 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 module, 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
- Implementing Actions
- Implementing Perspectives
- Implementing Translations
Lab : Customizing Cube Functionality
- Implementing a KPI
- Implementing an Action
- Implementing a Perspective
- 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
- Deploying an Analysis Services Database
- 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
- Configuring Processing
- Implementing Logging and Monitoring
- 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
- Creating a Data Mining Structure
- Adding a Data Mining Model
- Exploring Data Mining Models
- Validating Data Mining Models
After completing this module, students will be able to:
- Describe data mining.
- Create a data mining solution.
- Validate data mining models