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.
Audience
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.
At Course Completion
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. |
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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). |
Course Outline
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
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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. |
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Describe the key features of SQL Server 2005
Analysis Services. |
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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. |
Module 4: Working with
Measures and Measure Groups
This module explains how to
edit and configure measures and measure groups.
Lessons
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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
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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:
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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. |
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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. |
