Vision Technical Education Center
SQL Server 2005-2008 Analysis Services
CLASS DATE(s):
11/29/2010 - 12/1/2010

COURSE LENGTH: 3 Days

COURSE COST: $1,495.00*

COURSE TIMES: 8:30am - 4:00pm

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COURSE OVERVIEW

In this course, you 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 2005/2008 Integrated Services and Reporting Services.

*Course Cost does not include books. Please contact a VTEC Account Manager for details.

AUDIENCE AND 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.

In this course, you will:

  • Learn 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.
  • Learn how to 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.
  • Learn data mining concepts and mining structure processing.
  • Implement security, XMLA scripts, backups and restores for SSAS.

   

COURSE TOPICS:


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

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)

Using SSAS in BIDS
Understand the Development Environment
Create Data Sources
Create Data Source Views
Create Cubes by using the Cube Wizard

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

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

Cube Storage and Aggregation
View Aggregation Designs
Customize Aggregation Designs
Implement Proactive Caching
Use Relational and SSAS Partitions
Customize Cube and Dimension Processing

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

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

Introduction to Data Mining
Understand Data Mining Concepts
Review the Algorithms that SSAS Includes
Consider Data Mining Clients
Understand Mining Structure Processing

SSAS Administration
Implement SSAS Security
Implement XMLA Scripts in SSMS
Deploy and Synchronize Databases
Understand SSAS Database Backup and Restore

Advanced Administration and Optimization
Implement SSIS to Manage SSAS Datbases
Explore Clustering
Explore Scalability Options
Understand Performance Tuning and Optimization

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