Microsoft Server 2005 Analysis Services

Hilton Computer Strategies
Houston, Texas, United States

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' 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.

Audience

This course is intended for information technology (IT) professionals and developers who need to implement analysis solutions by using Microsoft SQL Server 2005 Analysis Services

At Course Completion

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 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.


Course Outline

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.

Lessons

Overview of Data Analysis Solutions

Overview of SQL Server 2005 Analysis Services

Installing SQL Server 2005 Analysis Services


After completing this module, students will be able to:

Describe data analysis solutions.

Describe the key features of SQL Server 2005 Analysis Services.

Install SQL Server 2005 Analysis Services.


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

Data Sources and Data Source Views

Creating a Cube


Lab 2: Creating a Multidimensional Analysis Solution

Exercise 1: Creating a Data Source

Exercise 2: Creating and Modifying a Data Source View

Exercise 3: Creating and Modifying a Cube


After completing this module, students will be able to:

Develop Analysis Services solutions.

Create a data source and a data source view.

Create a cube.


Module 3: Working with Dimensions

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

Lessons

Configuring Dimensions

Defining Hierarchies

Sorting and Grouping Attributes


Lab 3: Defining Dimensions

Exercise 1: Configuring Dimensions

Exercise 2: Defining Relationships and Hierarchies

Exercise 3: Sorting and Grouping Dimension Attributes


After completing this module, students will be able to:

Configure dimensions.

Define hierarchies.

Sort and group 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 4: Configuring Measures and Measure Groups

Exercise 1: Configuring Measures

Exercise 2: Defining Dimension Usage and Relationships

Exercise 3: Configuring Measure Group Storage


After completing this module, students will be able to:

Work with measures.

Work with measure groups.


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 5: Querying a Cube

Exercise 1: Querying a Cube by Using MDX

Exercise 2: Creating a Calculated Member

Exercise 3: Defining a Named Set


After completing this module, students will be able to:

Describe Multidimensional Expression (MDX) fundamentals.

Add calculations to a cube.


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 6: Customizing a Cube

Exercise 1: Implementing a KPI

Exercise 2: Implementing an Action

Exercise 3: Implementing a Perspective

Exercise 4: Implementing a Translation


After completing this module, students will be able to:

Implement Key Performance Indicators (KPIs).

Implement actions.

Implement perspectives.

Implement translations.


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 7: Deploying and Securing an Analysis Services Database

Exercise 1: Deploying an Analysis Services Database

Exercise 2: Securing an Analysis Services Database


After completing this module, students will be able to:

Deploy an Analysis Services database.

Secure 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 Settings

Logging, Monitoring, and Optimizing an Analysis Services Solution

Backing Up and Restoring an Analysis Services Database


Lab 8: Maintaining an Analysis Services Database

Exercise 1: Configuring Processing

Exercise 2: Implementing Logging and Monitoring

Exercise 3: Backing Up and Restoring an Analysis Services Database


After completing this module, students will be able to:

Configure processing settings.

Log, monitor, and optimize an Analysis Services solution.

Back up and restore 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 9: Implementing Data Mining

Exercise 1: Creating a Data Mining Structure

Exercise 2: Adding a Data Mining Model

Exercise 3: Exploring Data Mining Models

Exercise 4: Validating Data Mining Models


After completing this module, students will be able to:

Describe data mining.

Create a data mining solution.

Validate data mining models.

...''

Phone:1-800-324-7415

School Address:

Hilton Computer Strategies, 6001 Savoy, Suite 207, Houston, TX 77036 USA

Jobs & Resumes: Houston
Houses & Roommates: Houston

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