Microsoft 2791 Training 70-445

Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services

Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services M2791

Course Title: Implementing and Maintaining Microsoft SQL

Server 2005 Analysis Services

Course Code: M2791
Version: A
Level: 300
Duration: 3 Days

Course Overview

The Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services M2791 instructor-led training course has been designed to teach candidates how to implement an Analysis Services solution in an organisation. 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.

Target Audience

Candidates who should consider attending the M2791 Microsoft training course are information technology (IT) professionals and developers who need to implement analysis solutions by using Microsoft SQL Server 2005 Analysis Services.

Course Objectives

On successfully completing the M2791 course, candidates 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
• Customise an Analysis Services cube
• Deploy and Secure an Analysis Services database
• Maintain a multidimensional Analysis Services solution
• Implement a Data Mining solution

Course Prerequisites

Candidates attending the M2791 Microsoft training course should have a conceptual understanding of OLAP solutions. Candidates are also required to have experience with: navigating the Microsoft Windows Server environment; Windows services (starting and stopping); creating service accounts and permissions; Microsoft SQL Server, including SQL Server Agent, SQL Server query language (SELECT, UPDATE, INSERT, and DELETE), SQL Server System tables and SQL Server accounts (users and permissions).

Testing and Certification

There are currently no exams or Microsoft Certification directly associated to this course however this course may assist in preparing candidates for other exams that are closely associated with this technology.

Course Content

Module 1: Introduction to Microsoft SQL Server 2005 Analysis Services

In this module candidates will learn about common analysis scenarios and 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, candidates 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

In this module candidates will learn about the development tools that can be used to create an Analysis Services multidimensional analysis solution, 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: Creating a Multidimensional Analysis Solution

• Creating a Data Source
• Creating and Modifying a Data Source View
• Creating and Modifying a Cube

After completing this module, candidates 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

In this module candidates will learn how to edit dimensions and to configure dimensions, attributes, and hierarchies.

Lessons:

• Configuring Dimensions
• Defining Hierarchies
• Sorting and Grouping Attributes

Lab: Defining Dimensions

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

After completing this module, candidates will be able to:

• Configure dimensions
• Define hierarchies
• Sort and group attribute

Module 4: Working with Measures and Measure Groups

In this module candidates will learn how to edit and configure measures and measure groups.

Lessons:

• Working with Measures
• Working with Measure Groups

Lab: Configuring Measures and Measure Groups

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

After completing this module, candidates will be able to:

• Work with measures
• Work with measure groups

Module 5: Querying Multidimensional Analysis Solutions

In this module candidates will learn about multidimensional expressions (MDX) and how to implement calculated members and named sets in an Analysis Services cube.

Lessons:

• MDX Fundamentals
• Adding Calculations to a Cube

Lab: Querying a Cube

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

After completing this module, candidates will be able to:

• Describe Multidimensional Expression (MDX) fundamentals
• Add calculations to a cube

Module 6: Customising Cube Functionality

In this module candidates will learn how to customise a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.

Lessons:

• Implementing Key Performance Indicators
• Implementing Actions
• Implementing Perspectives
• Implementing Translations

Lab: Customising a Cube

• Implementing a KPI
• Implementing an Action
• Implementing a Perspective
• Implementing a Translation

After completing this module, candidates will be able to:

• Implement Key Performance Indicators (KPIs)
• Implement actions
• Implement perspectives
• Implement translations

Module 7: Deploying and Securing an Analysis Services Database

In this module candidates will learn 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: Deploying and Securing an Analysis Services Database

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

After completing this module, candidates will be able to:

• Deploy an Analysis Services database
• Secure an Analysis Services database

Module 8: Maintaining a Multidimensional Solution

In this module candidates will learn about 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 Optimising an Analysis Services Solution
• Backing Up and Restoring an Analysis Services Database

Lab: Maintaining an Analysis Services Database

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

After completing this module, candidates will be able to:

• Configure processing settings
• Log, monitor, and optimise an Analysis Services solution
• Back-up and restore an Analysis Services database

Module 9: Introduction to Data Mining

In this module candidates will learn about data mining, how to implement data mining structures and models and how to validate data model accuracy.

Lessons:

• Overview of Data Mining
• Creating a Data Mining Solution
• Validating Data Mining Models

Lab: Implementing Data Mining

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

After completing this module, candidates will be able to:

• Describe data mining
• Create a data mining solution
• Validate data mining models

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