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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.
  • Overview of Data Analysis Solutions
  • Overview of SQL Server 2005 Analysis Services
  • Installing SQL Server 2005 Analysis Services
Skills
  • Describe data analysis solutions.
  • Describe the key features of Microsoft SQL Server 2005 Analysis Services.
  • Install SQL Server 2005 Analysis Services.
Top

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
  • Data Sources and Data Source Views
  • Creating a Cube
  • Lab: Creating a Multidimensional Analysis Solution
Skills
  • Develop Analysis Services solutions.
  • Create a data source and a data source view.
  • Create a cube.
Top

Module 3: Working with Dimensions

  • This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
  • Configuring Dimensions
  • Defining Hierarchies
  • Sorting and Grouping Attributes
  • Lab: Defining Dimensions
Skills
  • Configure dimensions.
  • Define hierarchies.
  • Sort and group attributes.
Top

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: Configuring Measures and Measure Groups
Skills
  • Work with measures.
  • Work with measure groups.
Top

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 a Cube
Skills
  • Describe Multidimensional Expression (MDX) fundamentals.
  • Add calculations to a cube.
Top

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
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
  • Lab: Customizing a Cube
Skills
  • Implement Key Performance Indicators (KPIs).
  • Implement actions.
  • Implement perspectives.
  • Implement translations.
Top

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.
Top

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 Settings
  • Logging, Monitoring, and Optimizing an Analysis Services Solution
  • Backing Up and Restoring an Analysis Services Database
  • Lab: Maintaining an Analysis Services Database
Skills
  • Configure processing settings.
  • Log, monitor, and optimize an Analysis Services solution.
  • Back up and restore an Analysis Services database.
Top

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: Implementing Data Mining
Skills
  • Describe data mining.
  • Create a data mining solution.
  • Validate data mining models.
Top
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Exams:

  • There are no exams directly associated with this course

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£ 1050
(1513)
£ 674.00
(971)
- No Books Supported for Course at present

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Last Modified 12 June 2008