2791 - Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services |
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| Course Code: | 2791 |
| Course Duration: | 3 days |
| Course Price: | 2040.00 |
| Availability: | |
This three-day instructor-led (Level 300) course teaches students 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.
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
• Customise an Analysis Services cube
• Deploy and Secure an Analysis Services database
• Maintain a multidimensional Analysis Services solution
• Implement a Data Mining solution
Module 1: Introduction to Microsoft SQL Server 2005 Analysis Services Lessons After completing this module students will be able to: Module 2: Creating Multidimensional Analysis Solutions Lessons Lab 2: Creating a Multidimensional Analysis Solution After completing this module students will be able to: Module 3: Working with Dimensions Lessons Lab 3: Defining Dimensions After completing this module students will be able to: Module 4: Working with Measures and Measure Groups Lessons Lab 4: Configuring Measures and Measure Groups After completing this module students will be able to: Module 5: Querying Multidimensional Analysis Solutions Lessons Lab 5: Querying a Cube After completing this module students will be able to: Module 6: Customising Cube Functionality Lessons Lab 6: Customizing a Cube After completing this module students will be able to: Module 7: Deploying and Securing an Analysis Services Database Lessons Lab 7: Deploying and Securing an Analysis Services Database After completing this module students will be able to: Module 8: Maintaining a Multidimensional Solution Lessons Lab 8: Maintaining an Analysis Services Database After completing this module students will be able to: Module 9: Introduction to Data Mining Lessons Lab 9: Implementing Data Mining After completing this module students will be able to:
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 2005 Analysis Services
• Installing SQL Server 2005 Analysis Services
• Describe data analysis solutions
• Describe the key features of SQL Server 2005 Analysis Services
• Install SQL Server 2005 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.
• Developing Analysis Services Solutions
• Data Sources and Data Source Views
• Creating a Cube
• Exercise 1: Creating a Data Source
• Exercise 2: Creating and Modifying a Data Source View
• Exercise 3: Creating and Modifying a Cube
• Develop Analysis Services solutions
• Create a data source and a data source view
• Create a cube
This module describes how to edit dimensions and to configure dimensions, attributes and hierarchies.
• Configuring Dimensions
• Defining Hierarchies
• Sorting and Grouping Attributes
• Exercise 1: Configuring Dimensions
• Exercise 2: Defining Relationships and Hierarchies
• Exercise 3: Sorting and Grouping Dimension Attributes
• Configure dimensions
• Define hierarchies
• Sort and group attributes
This module explains how to edit and configure measures and measure groups.
• Working with Measures
• Working with Measure Groups
• Exercise 1: Configuring Measures
• Exercise 2: Defining Dimension Usage and Relationships
• Exercise 3: Configuring Measure Group Storage
• Work with measures
• Work with measure groups
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
• Exercise 1: Querying a Cube by Using MDX
• Exercise 2: Creating a Calculated Member
• Exercise 3: Defining a Named Set
• Describe Multidimensional Expression (MDX) fundamentals
• Add calculations to a cube
This module explains how to customise a cube by implementing key performance indicators (KPIs), actions, perspectives and translations.
• Implementing Key Performance Indicators
• Implementing Actions
• Implementing Perspectives
• Implementing Translations
• Exercise 1: Implementing a KPI
• Exercise 2: Implementing an Action
• Exercise 3: Implementing a Perspective
• Exercise 4: Implementing a Translation
• Implement Key Performance Indicators (KPIs)
• Implement actions
• Implement perspectives
• Implement translations
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
• Exercise 1: Deploying an Analysis Services Database
• Exercise 2: Securing an Analysis Services Database
• Deploy an Analysis Services database
• Secure an Analysis Services database
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 Settings
• Logging, Monitoring, and Optimizing an Analysis Services Solution
• Backing Up and Restoring an Analysis Services Database
• Exercise 1: Configuring Processing
• Exercise 2: Implementing Logging and Monitoring
• Exercise 3: Backing Up and Restoring an Analysis Services Database
• Configure processing settings
• Log, monitor, and optimize an Analysis Services solution
• Back up and restore an Analysis Services database
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
• 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
• Describe data mining
• Create a data mining solution
• Validate data mining models
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.
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)