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Implementing and Maintaining Microsoft SQL Server2008 Analysis Services Kursusnr.: 6234 afholdes i Århus og Kbh.
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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.
Kurset henvender sig til:
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.
Forudsætninger:
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).
Kursusindhold
Praktiske oplysninger
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: (Level 200) Installing SQL Server Analysis Services
Exercise 2: (Level 200) Verifying Installation
After completing this module, students will be able to:
Describe data analysis solutions.
Describe the key features of SQL Server Analysis Services.
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: (Level 200) Creating a Data Source
Exercise 2: (Level 200) Creating and Modifying a Data Source View
Exercise 3: (Level 200) 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 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: (Level 200) Configuring Dimensions
Exercise 2: (Level 200) Defining Relationships and Hierarchies
Exercise 3: (Level 200) 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
Lesson 1: Working With Measures
Lesson 2: Working with Measure Groups
Lab: Working with Measures and Measure Groups
Exercise 1: (Level 200) Configuring Measures
Exercise 2: (Level 200) Defining Dimension Usage and Relationships
Exercise 3: (Level 200) Configuring Measure Group Storage
After completing this module, students will be able to:
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: (Level 200) Querying a Cube by Using MDX
Exercise 2: (Level 200) Creating a Calculated Member
Exercise 3: (Level 200) Defining a Named Set
After completing this module, students will be able to:
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: (Level 200) Implementing a KPI
Exercise 2: (Level 200) Implementing an Action
Exercise 3: (Level 200) Implementing a Perspective
Exercise 4: (Level 200) 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
Lesson 1: Deploying an Analysis Services Database
Lesson 2: Securing an Analysis Services Database
Lab: Deploying and Securing an Analysis Services Database
Exercise 1: (Level 200) Deploying an Analysis Services Database
Exercise 2: (Level 200) 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
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: (Level 200) Configuring Processing
Exercise 2: (Level 200) Implementing Logging and Monitoring
Exercise 3: (Level 200) 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
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: (Level 200) Creating a Data Mining Structure
Exercise 2: (Level 200) Adding a Data Mining Model
Exercise 3: (Level 200) Exploring Data Mining Models
Exercise 4: (Level 200) 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.
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 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.
Pris
kr. 10.250,-
Varighed
3 dage
Bemærk
Dette kursus afholdes i samarbejde med et CPLS center
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