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MS6234 Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

3 Day Course
Hands On
Official Microsoft Curriculum
Code MS6234

This course has been retired. Please view currently available Microsoft SQL Server Training Courses.

Modules

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Introduction to Microsoft SQL Server Analysis Services (1 topic)

  • 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

Creating Multidimensional Analysis Solutions (1 topic)

  • 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

Working with Cubes and Dimensions (1 topic)

  • This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies

Working with Measures and Measure Groups (1 topic)

  • This module explains how to edit and configure measures and measure groups

Querying Multidimensional Analysis Solutions (1 topic)

  • This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube

Customizing Cube Functionality (1 topic)

  • This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations

Deploying and Securing an Analysis Services Database (1 topic)

  • 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.

Maintaining a Multidimensional Solution (1 topic)

  • 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

Introduction to Data Mining (1 topic)

  • This module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy

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).

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