Implementing and Maintaining Microsoft SQL Server 2008 Analisys Services

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
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
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
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
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
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
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
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
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

I partecipanti devono possedere i prerequisiti:

• conoscenza concettuale di una soluzione OLAP
• esperienza di lavoro con i servizi Windows (start e stop)
• esperienza di lavoro con Sql Server e in particolare con
  • Sql Server Agent
  • linguaggio query di Sql Server (SELECT, INSERT, UPDATE e DELETE)
  • tabelle di sistema di Sql Server
  • gestione degli account di Sql Server