HARTMANN software group

6234: SQL Server 2008 Analysis Services Training in Royal Oak

Enroll in or hire us to teach our 6234: SQL Server 2008 Analysis Services class in Royal Oak, Michigan by calling us @303.377.6176. Like all HSG classes, 6234: SQL Server 2008 Analysis Services may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, 6234: SQL Server 2008 Analysis Services may be taught at one of our local training facilities.

Answers to Popular Questions:

  
Yes, this class can be tailored to meet your specific training needs.
Yes, we provide consulting services.
Yes, group discounts are provided.
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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.
Course Length: 3 Days
Course Tuition: $1190 (US)

Prerequisites
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).

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
Overview of Data Analysis Solutions
Overview of SQL Server Analysis Services
Installing SQL Server Analysis Services
Lab : Using SQL Server Analysis Services
(Level 200) Installing SQL Server Analysis Services
(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.
Install SQL Server 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
Creating Data Sources and Data Source Views
Creating a Cube
Lab : Creating Multidimensional Analysis Solutions
(Level 200) Creating a Data Source
(Level 200) Creating and Modifying a Data Source View
(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
Configuring Dimensions
Defining Attribute Hierarchies
Sorting and Grouping Attributes
Lab : Working with Cubes and Dimensions
(Level 200) Configuring Dimensions
(Level 200) Defining Relationships and Hierarchies
(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
Working With Measures
Working with Measure Groups
Lab : Working with Measures and Measure Groups
(Level 200) Configuring Measures
(Level 200) Defining Dimension Usage and Relationships
(Level 200) 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 : Querying Multidimensional Analysis Solutions
(Level 200) Querying a Cube by Using MDX
(Level 200) Creating a Calculated Member
(Level 200) 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 : Customizing Cube Functionality
(Level 200) Implementing a KPI
(Level 200) Implementing an Action
(Level 200) Implementing a Perspective
(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
Deploying an Analysis Services Database
Securing an Analysis Services Database
Lab : Deploying and Securing an Analysis Services Database
(Level 200) Deploying an Analysis Services Database
(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
Configuring Processing
Logging, Monitoring, and Optimizing an Analysis Services Solution
Backing Up and Restoring an Analysis Services Database
Lab : Maintaining a Multidimensional Solution
(Level 200) Configuring Processing
(Level 200) Implementing Logging and Monitoring
(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.
Backup 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 : Introduction to Data Mining
(Level 200) Creating a Data Mining Structure
(Level 200) Adding a Data Mining Model
(Level 200) Exploring Data Mining Models
(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.

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