How To Take This Class

Course Overview

In this SQL Server 2008 Analysis Services Training course, students will learn how to use Microsoft SQL Server 2008 Analysis Services (SSAS) to design and implement OnLine Analytical Processing (OLAP) cubes and data mining models to support Business Intelligence (BI) solutions. This course includes concepts, procedures and practices based on real-world experience giving both the novice and experienced SQL Server 2008 developer the tools to build data cubes and forecasting solutions. This course also provides information on end-user tools including Microsoft Excel 2007, Office Visio 2007 Professional Edition, SQL Server Business Intelligence Development Studio (BIDS) Microsoft SQL Server 2005 Integrated Services and Reporting Services.

Course Prerequisites

This course does not require any prior experience with Analysis Server 2008. It is assumed that students have working experience with SQL Server 2005 or 2008; basic relational database concepts (e.g., tables, queries, and indexing); data transformation services; Excel 2007; and SharePoint Server 2007.

Course Audience

This course is designed for developers, analysts and other who want to understand how SQL Server 2008 Analysis Services can be used to build and support Business Intelligence solutions.

What You'll Learn

Upon successful completion of this course, students will be able to:
  • Define what Business Intelligence is and how it applies to a database.
  • Understand how the cube structure works for viewing data information.
  • View cubes using Excel 2007 and SQL Reporting Services.
  • See how to create cube models using SQL Server Business Intelligence Development Studio (BIDS).
  • Create Data Source, Data Source Views and then create cubes with the Cube Wizard.
  • Create key performance indicators (KPIs).
  • Work with changing and advanced dimension types.
  • Use relational and SSAS partitions.
  • Understand how to use MDX syntax for queries, functions and tasks.
  • Understand data mining concepts and mining structure processing.
  • Implement security, XMLA scripts, backups and restores for SSAS.

Course Duration

3 Days

Course Outline

  1. What Is Microsoft Business Intelligence?
    • Define Business Intelligence
    • Understand the Cube Structure
    • Deploy and View a Sample Cube
    • View a Cube by using Excel
    • View a Cube by using SQL Reporting Services
  2. OLAP Modeling
    • Understand Basic OLAP Modeling (star schema)
    • Understand Dimensional Modeling (stars and snowflakes)
    • Understand Measure (fact) and Cube Modeling
    • Model with SQL Server Business Intelligence Development Studio (BIDS)
  3. Using SSAS in BIDS
    • Understand the Development Environment
    • Create Data Sources
    • Create Data Source Views
    • Create Cubes by using the Cube Wizard
  4. Intermediate SSAS
    • Learn how to Create Key Performance Indicators (KPIs)
    • Discover how to Create Perspectives
    • See how to Create Translations for Cubes and Dimensions
    • Review the three SSAS Action Object Types: Regular, Drillthrough, and Reporting
  5. Advanced SSAS
    • Work with Multiple Fact Tables and the Dimension Usage Subtab in BIDS
    • Explore Advanced Dimension Types
    • Learn how to use the Business Intelligence Wizard
    • Understand Writeback in Dimensions
    • Review Semi-Additive Measures in OLAP Cubes
  6. Cube Storage and Aggregation
    • View Aggregation Designs
    • Customize Aggregation Designs
    • Implement Proactive Caching
    • Use Relational and SSAS Partitions
    • Customize Cube and Dimension Processing
  7. Introduction to MDX Queries
    • Understand Basic MDX Syntax
    • Use the MDX Query Editor in SSMS
    • Understand Common MDX Functions and Tasks
    • Review MDX Functions New to SSAS 2008
  8. MDX Expressions
    • Understand the Calculation Subtab
    • Learn how to add Calculated Members
    • Explore how to add MDX Script Commands
    • Discover how to add .NET Assemblies
  9. Introduction to Data Mining
    • Understand Data Mining Concepts
    • Review the Algorithms that SSAS Includes
    • Consider Data Mining Clients
    • Understand Mining Structure Processing
  10. SSAS Administration
    • Implement SSAS Security
    • Implement XMLA Scripts in SSMS
    • Deploy and Synchronize Databases
    • Understand SSAS Database Backup and Restore
  11. Advanced Administration and Optimization
    • Implement SSIS to Manage SSAS Datbases
    • Explore Clustering
    • Explore Scalability Options
    • Understand Performance Tuning and Optimization
  12. Introduction to SSAS Clients
    • Design Reports using Reporting Services
    • Design Reports by using Report Builder
    • Implement Excel 2007 Pivot Tables and Charts
    • Use Excel 2007 as a Data Mining Client
    • Review Microsoft Office SharePoint Server 2007