Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

Session Detail:    Classroom 3 Day

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.

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)

Who Can Benefit

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.

Session Outline

Class Outline

Module 1: Introduction to Microsoft SQL Server Analysis Services

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

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

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

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

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

After completing this module, students will be able to:

  • Work with measures
  • Work with measure groups

Module 5: Querying Multidimensional Analysis Solutions

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

After completing this module, students will be able to:

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

Module 6: Customizing Cube Functionality

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

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

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

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

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

Need to train your team?

All of our sessions can be customized to meet your team’s specific need. Build the perfect program by picking and choosing topics from any of the courses in our catalog. A personalized private session gives you the ultimate flexibility and helps maximize your team’s valuable time!

Requesting Team Training
DateTimeTypePriceAdd To Cart

Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

3 Day
Classroom

$2,295.00

Chat with a Coach

Chat with a Coach

Have a more immediate need? Why spend the next hour searching online for answers when you can spend just 15 minutes with one of our experts and get accurate and personalized answers to all of your questions. 

$9.99 | 15 Minutes

Book Now