Niche
SQL Server 2008

Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services
(Microsoft Training Course: 6234) - 3 days - £1250 exc VAT

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Birmingham Centre          21   
Extended Classroom04    21         
Leeds (City Exchange) Centre          01   
London International House Centre E1W04    21         
Manchester (Portland St) Centre06   15   03   24    


> Target Audience
This course teaches students how to implement an Analysis Services solution in an organization. It is intended for individuals who design and maintain business intelligence solutions for their organisation.
> Course outline
  1. Introduction to Microsoft SQL Server Analysis Services
  2. Creating Multidimensional Analysis Solutions
  3. Working with Cubes and Dimensions
  4. Working with Measures and Measure Groups
  5. Querying Multidimensional Analysis Solutions
  6. Customizing Cube Functionality
  7. Deploying and Securing an Analysis Services Database
  8. Maintaining a Multidimensional Solution
  9. Introduction to Data Mining


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.
  • Overview of Data Analysis Solutions
  • Overview of SQL Server Analysis Services
  • Installing SQL Server Analysis Services
  • Lab: Using SQL Server Analysis Services
Skills
  • Describe data analysis solutions.
  • Describe the key features of SQL Server Analysis Services.
  • Install SQL Server Analysis Services.
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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.
  • Developing Analysis Services Solutions
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Lab : Creating Multidimensional Analysis Solutions
Skills
  • Develop Analysis Services solutions.
  • Create a data source and a data source view.
  • Create a cube.
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Module 3: Working with Cubes and Dimensions
  • This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Lab: Working with Cubes and Dimensions
Skills
  • Configure dimensions.
  • Define hierarchies.
  • 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.
  • Working With Measures
  • Working with Measure Groups
  • Lab: Working with Measures and Measure Groups
Skills
  • Work with measures.
  • Work with measure groups.
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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.
  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Lab : Querying Multidimensional Analysis Solutions
Skills
  • Describe Multidimensional Expression (MDX) fundamentals.
  • Add calculations to a cube.
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Module 6: Customizing Cube Functionality
  • This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
  • Implementing Key Performance Indicators (KPI)
  • Implementing Actions
  • Working with Perspectives
  • Working with Translations
  • Lab: Customizing Cube Functionality
Skills
  • Implement Key Performance Indicators (KPIs).
  • Implement actions.
  • Implement perspectives.
  • Implement translations.
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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.
  • Deploying an Analysis Services Database
  • Securing an Analysis Services Database
  • Lab: Deploying and Securing an Analysis Services Database
Skills
  • Deploy an Analysis Services database.
  • Secure an Analysis Services database.
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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.
  • Configuring Processing
  • Logging, Monitoring, and Optimizing an Analysis Services Solution
  • Backing Up and Restoring an Analysis Services Database
  • Lab: Maintaining a Multidimensional Solution
Skills
  • Configure processing settings.
  • Log, monitor, and optimize an Analysis Services solution.
  • Back up and restore an Analysis Services database.
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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.
  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating Data Mining Models
  • Lab: Introduction to Data Mining
Skills
  • Describe data mining.
  • Create a data mining solution.
  • Validate data mining models.
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> Pre-Requisites
Before attending this course, students must have the following pre-requisites:
  • 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.
  • 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.
> Purpose
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.