MS6234A: Implementing and Maintaining Microsoft SQL Server2008 Analysis Services
Starting dates and places
Description
MS6234A: Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services
Duration
3 days
Course Overview
Elements of this syllabus are subject to change.
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…
Frequently asked questions
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MS6234A: Implementing and Maintaining Microsoft SQL Server 2008
Analysis Services
Duration
3 days
Course Overview
Elements of this syllabus are subject to change.
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.
Course Objectives
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.
Prerequisites
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).
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
• (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.
• 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
• (Level 200) Creating a Data Source
• (Level 200) Creating and Modifying a Data Source View
• (Level 200) 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
• (Level 200) Configuring Dimensions
• (Level 200) Defining Relationships and Hierarchies
• (Level 200) 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
• (Level 200) Configuring Measures
• (Level 200) Defining Dimension Usage and Relationships
• (Level 200) 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
• (Level 200) Querying a Cube by Using MDX
• (Level 200) Creating a Calculated Member
• (Level 200) 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
• (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:
• Describe data mining.
• Create a data mining solution.
• Validate data mining models.
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