6234A Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

Pré-requisitos:

· 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.

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

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

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

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

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

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

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

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

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