Implementing and
Maintaining Microsoft SQL Server 2005 Analysis Services
Course 2791:
Three days; Instructor-Led
Introduction
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.
This course is intended for
information technology (IT) professionals and developers who need to implement
analysis solutions by using Microsoft SQL Server 2005 Analysis Services.
After completing this course,
students will be able to:
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Describe how SQL Server Analysis
Services can be used to implement analytical solutions. |
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• |
Create multidimensional analysis solutions
with SQL Server Analysis Services. |
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• |
Implement dimensions in an
Analysis Services solution. |
|
• |
Implement measures and measure
groups in an Analysis Services solution. |
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• |
Query a multidimensional Analysis
Services solution. |
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• |
Customize an Analysis Services
cube. |
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• |
Deploy and Secure an Analysis
Services database. |
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• |
Maintain a multidimensional
Analysis Services solution. |
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• |
Implement a Data Mining solution. |
Prerequisites
Before attending this course, students
must have:
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• |
Conceptual understanding of OLAP
solutions. |
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• |
Experience navigating the
Microsoft Windows Server environment. |
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• |
Experience with Windows services
(starting and stopping). |
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• |
Experience creating service accounts
and permissions. |
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• |
Experience with Microsoft SQL
Server, including: |
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• |
SQL Server Agent. |
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• |
SQL Server query language (SELECT,
UPDATE, INSERT, and DELETE). |
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• |
SQL Server System tables. |
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• |
SQL Server accounts (users and permissions). |
Module 1: Introduction to Microsoft
SQL Server 2005 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 |
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• |
Overview of SQL Server 2005
Analysis Services |
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• |
Installing SQL Server 2005 Analysis
Services |
After completing this module,
students will be able to:
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• |
Describe data analysis solutions. |
|
• |
Describe the key features of SQL
Server 2005 Analysis Services. |
|
• |
Install SQL Server 2005 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
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• |
Developing Analysis Services
Solutions |
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• |
Data Sources and Data Source Views |
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• |
Creating a Cube |
Lab 2: Creating a Multidimensional
Analysis Solution
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• |
Exercise 1: Creating a Data Source |
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• |
Exercise 2: Creating and Modifying
a Data Source View |
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• |
Exercise 3: Creating and Modifying
a Cube |
After completing this module,
students will be able to:
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• |
Develop Analysis Services
solutions. |
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• |
Create a data source and a data
source view. |
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• |
Create a cube. |
Module
3: Working with Dimensions
This module describes how to edit
dimensions and to configure dimensions, attributes, and hierarchies.
Lessons
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• |
Configuring Dimensions |
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• |
Defining Hierarchies |
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• |
Sorting and Grouping Attributes |
Lab 3: Defining Dimensions
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• |
Exercise 1: Configuring Dimensions |
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• |
Exercise 2: Defining Relationships
and Hierarchies |
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• |
Exercise 3: Sorting and Grouping
Dimension Attributes |
After completing this module,
students will be able to:
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• |
Configure dimensions. |
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• |
Define hierarchies. |
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• |
Sort and group attributes. |
|
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|
Module
4: Working with Measures and Measure Groups
This module explains how to edit and
configure measures and measure groups.
Lessons
|
• |
Working with Measures |
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• |
Working with Measure Groups |
Lab 4: Configuring Measures and
Measure Groups
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• |
Exercise 1: Configuring Measures |
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• |
Exercise 2: Defining Dimension
Usage and Relationships |
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• |
Exercise 3: Configuring Measure Group
Storage |
After completing this module,
students will be able to:
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• |
Work with measures. |
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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
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• |
MDX Fundamentals |
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• |
Adding Calculations to a Cube |
Lab 5: Querying a Cube
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Exercise 1: Querying a Cube by
Using MDX |
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• |
Exercise 2: Creating a Calculated
Member |
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• |
Exercise 3: Defining a Named Set |
After completing this module,
students will be able to:
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• |
Describe Multidimensional
Expression (MDX) fundamentals. |
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• |
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
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• |
Implementing Key Performance Indicators |
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Implementing Actions |
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Implementing Perspectives |
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Implementing Translations |
Lab 6: Customizing a Cube
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Exercise 1: Implementing a KPI |
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Exercise 2: Implementing an Action |
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Exercise 3: Implementing a Perspective |
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Exercise 4: Implementing a
Translation |
After completing this module,
students will be able to:
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• |
Implement Key Performance
Indicators (KPIs). |
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• |
Implement actions. |
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• |
Implement perspectives. |
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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 |
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• |
Securing an Analysis Services
Database |
Lab 7: Deploying and Securing an
Analysis Services Database
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Exercise 1: Deploying an Analysis
Services Database |
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• |
Exercise 2: Securing an Analysis
Services Database |
After completing this module,
students will be able to:
|
• |
Deploy an Analysis Services
database. |
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• |
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
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• |
Configuring Processing Settings |
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Logging, Monitoring, and
Optimizing an Analysis Services Solution |
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Backing Up and Restoring an
Analysis Services Database |
Lab 8: Maintaining an Analysis
Services Database
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Exercise 1: Configuring Processing |
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Exercise 2: Implementing Logging
and Monitoring |
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• |
Exercise 3: Backing Up and
Restoring an Analysis Services Database |
After completing this module,
students will be able to:
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• |
Configure processing settings. |
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• |
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
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Overview of Data Mining |
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Creating a Data Mining Solution |
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Validating Data Mining Models |
Lab 9: Implementing Data Mining
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Exercise 1: Creating a Data Mining
Structure |
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Exercise 2: Adding a Data Mining
Model |
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Exercise 3: Exploring Data Mining
Models |
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• |
Exercise 4: Validating Data Mining
Models |
After completing this module,
students will be able to:
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• |
Describe data mining. |
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• |
Create a data mining solution. |
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• |
Validate data mining models |
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