Course Overview
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.
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.
Skills Gained
- 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.
Prerequisites
- 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.
- 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)
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.
- 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)
Module 3: Working with Cubes and Dimensions
This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
- 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)
Module 4: Working with Measures and Measure Groups
This module explains how to edit and configure measures and measure groups.
- 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)
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.
- 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)
Module 6: Customizing Cube Functionality
This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
- 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)
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.
- 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)
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.
- 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)
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.
- 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)
