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QA-M6234

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Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

This three-day instructor-led course teaches delegates 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.

Target Audience:

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.

Those intending to take the 70-448 SQL Server 2008, Business Intelligence Development and Maintenance exam and 70-451 PRO: Designing Database Solutions and Data Access using Microsoft SQL Server 2008 exam will also benefit from attendance at this course.

Prior knowledge

  • 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).

Objectives:

At the end of this course you 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.

Course Outline:

Module 1: 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.

Lessons

  • Lesson 1: Overview of Data Analysis Solutions
  • Lesson 2: Overview of SQL Server Analysis Services
  • Lesson 3: Installing SQL Server Analysis Services

Lab: Using SQL Server Analysis Services

  • Exercise 1: Installing SQL Server Analysis Services
  • Exercise 2: Verifying Installation

Module 2: Creating Multidimensional Analysis Solutions

This module introduces the development tools you can use to create an Analysis Services... Läs mer

Objectives:

At the end of this course you 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.

Course Outline:

Module 1: 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.

Lessons

  • Lesson 1: Overview of Data Analysis Solutions
  • Lesson 2: Overview of SQL Server Analysis Services
  • Lesson 3: Installing SQL Server Analysis Services

Lab: Using SQL Server Analysis Services

  • Exercise 1: Installing SQL Server Analysis Services
  • Exercise 2: Verifying Installation

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

  • Lesson 1: Developing Analysis Services Solutions
  • Lesson 2: Creating Data Sources and Data Source Views
  • Lesson 3: Creating a Cube

Lab: Creating Multidimensional Analysis Solutions

  • Exercise 1: Creating a Data Source
  • Exercise 2: Creating and Modifying a Data Source View
  • Exercise 3: Creating and Modifying a Cube

Module 3: Working with Cubes and Dimensions

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

Lessons

  • Lesson 1: Configuring Dimensions
  • Lesson 2: Defining Attribute Hierarchies
  • Lesson 3: Sorting and Grouping Attributes

Lab: Working with Cubes and Dimensions

  • Exercise 1: Configuring Dimensions
  • Exercise 2: Defining Relationships and Hierarchies
  • Exercise 3: Sorting and Grouping Dimension Attributes

Module 4: Working with Measures and Measure Groups

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

Lessons

  • Lesson 1: Working With Measures
  • Lesson 2: Working with Measure Groups

Lab: Working with Measures and Measure Groups

  • Exercise 1: Configuring Measures
  • Exercise 2: Defining Dimension Usage and Relationships
  • Exercise 3: Configuring Measure Group Storage

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

  • Lesson 1: MDX Fundamentals
  • Lesson 2: Adding Calculations to a Cube

Lab: Querying Multidimensional Analysis Solutions

  • Exercise 1: Querying a Cube by Using MDX
  • Exercise 2: Creating a Calculated Member
  • Exercise 3: Defining a Named Set

Module 6: Customizing Cube Functionality

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

Lessons

  • Lesson 1: Implementing Key Performance Indicators
  • Lesson 2: Implementing Actions
  • Lesson 3: Implementing Perspectives
  • Lesson 4: Implementing Translations

Lab: Customizing Cube Functionality

  • Exercise 1: Implementing a KPI
  • Exercise 2: Implementing an Action
  • Exercise 3: Implementing a Perspective
  • Exercise 4: Implementing a Translation

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

  • Lesson 1: Deploying an Analysis Services Database
  • Lesson 2: Securing an Analysis Services Database

Lab: Deploying and Securing an Analysis Services Database

  • Exercise 1: Deploying an Analysis Services Database
  • Exercise 2: Securing 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

  • Lesson 1: Configuring Processing
  • Lesson 2: Logging, Monitoring, and Optimizing an Analysis Services Solution
  • Lesson 3: Backing Up and Restoring an Analysis Services Database

Lab: Maintaining a Multidimensional Solution

  • Exercise 1: Configuring Processing
  • Exercise 2: Implementing Logging and Monitoring
  • Exercise 3: Backing Up and Restoring 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

  • Lesson 1: Overview of Data Mining
  • Lesson 2: Creating a Data Mining Solution
  • Lesson 3: Validating Data Mining Models

Lab: Introduction to 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

This course may be available for you to purchase through the Microsoft Software Assurance voucher scheme. To book courses using vouchers please call our sales team on 0345 757 3888. Or for more information on claiming vouchers you can speak to our dedicated Software Assurance administration team on 01753 898 351.

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Kurs-ID: QA-M6234
Längd: 3 dagar
Pris exkl moms: 18 264 kr

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