Three Day Course

Course Description

The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities. The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization. This three-day instructor-led course teaches students how to implement an Analysis Services solution in an organization. The course discusses how to use the Analysis Services development tools to create an Analysis Services database and an OLAP cube, and how to use the Analysis Services management and administrative tools to manage an Analysis Services solution.

Performance-Based Objectives

Upon successful completion of 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.

Prerequisites

The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities. The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization.

Course Content

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.

• 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

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
• Developing Analysis Services Solutions
• Creating a Cube
  • Lab: Creating Multidimensional Analysis Solutions
    • Creating a Data Source
    • Creating and Modifying a Data Source View
    • Creating and Modifying a Cube

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
    • Configuring Dimensions
    • Defining Relationships and Hierarchies
    • Sorting and Grouping Dimension Attributes

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
    • Configuring Measures
    • Defining Dimension Usage and Relationships
    • Configuring Measure Group Storage

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
    • Querying a Cube by Using MDX
    • Creating a Calculated Member
    • Defining a Named Set

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
    • Customizing Cube Functionality
    • Implementing an Action
    • Implementing a Perspective
    • Implementing a Translation

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
    • Deploying an Analysis Services Database
    • Securing an Analysis Services Database

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
    • Configuring Processing
    • Implementing Logging and Monitoring
    • Backing Up and Restoring an Analysis Services Database

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
    • Creating a Data Mining Structure
    • Adding a Data Mining Model
    • Exploring Data Mining Models
    • Validating Data Mining Models

For more information on Acumen Classes
Please contact Deb Wagnon 314.333.3330
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Saint Louis, MO 63119