SQL Server 2008 Analysis Services

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Description:
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 Integrated Services and Reporting Services.
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.
What is Microsoft Business Intelligence?:
Defining Microsoft Business Intelligence
Why Use OLAP?
Understanding the Cube Structure
Dimensions and Measures
OLAP Schemas
Building and Viewing a Sample Cube
The AdventureWorksDW2008 Source Database
Deploying a Cube with BIDS
Viewing the Results in BIDS
Viewing a Cube Using Excel
Cubes in Reporting Services
OLAP Modeling:
Selecting a Modeling Tool
Understanding OLAP Modeling
Putting it all Together
Understanding Dimensional Modeling
Dimension Types
Understanding Cube Modeling
Modeling with BIDS
Understanding the BIDS Interface
Cube Wizard Modeling Options
A Note about ETL
Using SSAS in BIDS:
Understanding BIDS
Offline vs. Online Mode
Creating Data Sources
Creating Data Source Views
Creating a Cube Using the Wizard
Refining Dimensions and Measures
Working with Your Cube
Intermediate SSAS:
Refining Attribute Relationships
Creating KPIs
How KPIs are Implemented in SSAS
Customizing the KPI Templates
Other KPI Considerations
Creating Perspectives
Creating Translations
Localizing Measure Values
Currency Localization
Creating Actions
Advanced SSAS:
Working with Multiple Fact Tables
Linked Objects
Dimension Usage Configurations
Using Advanced Dimension Types
Snowflake Dimensions
Degenerate Dimensions
Parent-Child Dimensions
Many-to-Many Dimensions
Role Playing Dimensions
Writeback Dimensions
Working with Changing Dimensions
More about Error Handling for Dimension Attribute Loads
Change Data Capture
Using the Business Intelligence Wizard
Managing Properties
Dimension Properties
Hierarchy Properties
Attribute Properties
Cube Properties
Measure Properties
Cube Storage and Aggregation:
Basic Storage: MOLAP
About XMLA
Three Storage Modes
About Aggregations
Viewing Aggregation Designs
Customizing Aggregations
The Aggregation Design Wizard
The Usage-Based Optimization Wizard
Using Profiler
Advanced Storage: MOLAP, HOLAP, or ROLAP
Using Partitions with Advanced Storage Options
ROLAP Dimensions
Implementing Proactive Caching
Notification Settings for Proactive Caching
Using Partitions: Relational or SSAS
Relational Table Partitioning in SQL Server 2008
How to Implement OLTP Partitioning
Other Capabilities of OLAP Partitions
Cube and Dimension Processing Options
Introduction to MDX Queries:
Understanding MDX
MDX Structure Names
MDX Syntax Rules
Writing your First MDX Query
About Members, Tuples, and Sets
Working with MDX Functions
Common MDX Functions Explained
MDX Functions or Keywords Added or Revised in SSAS 2005
MDX Expressions:
Working with the Calculations Subtab
Adding Calculated Members
Examine a Calculated Measure
Why Use Calculated Members?
Adding MDX Scripts
Adding Named Sets
Adding .NET Assemblies
Why Use External Assemblies?
Introduction to Data Mining:
Understanding Data Mining Concepts
Data Mining Terminology
Understanding Your Business Questions
Data Mining Algorithm Classifications
Implementing Data Mining
Understanding Data Mining Algorithms
Data Mining Algorithm Features
Mining Model Algorithms
Creating Data Mining Structures
Content and Data Types
Separating Test and Training Data
Other Model Properties
Reviewing Data Mining Structures and Models
Mining Structure Subtab
Mining Models Subtab
Mining Model Viewers
Mining Accuracy Charts
Mining Prediction Viewers
Understanding Mining Structure Processing
Using SSIS to Process Mining Models
SSIS and Data Mining
Working with the DMX (Data Mining Extensions) Language
A Simple DMXQuery
SSAS Administration:
Implementing SSAS Security
Reducing the Attack Surface
Data Source Connection Methods
Implementing Database Roles
Other Security Considerations
Managing with Scripts
Implementing XMLA Scripts
Using Schema Rowsets
Using Scripts to View SSAS Statistics
Deploying and Synchronizing Databases
Deploying by Using BIDS
Using the Deployment Wizard
Using the Synchronize Database Wizard
Understanding SSAS Backup and Restore
SSAS Database Backups
Advanced Administration and Optimization:
Using SSIS with Analysis Services
Using SSIS to Process Partitions
Using SSIS to Process Mining Models
Other SSIS Analysis Services Tasks
Improving Availability and Scalability
Understanding Clustering
Improving Scalability
Performance Optimization
Impacting Performance
Introduction to SSAS Clients:
Using Excel 2007 as an SSAS Client
Creating Connections
Implementing PivotTable Reports
Excel 2007 PivotChart Reports
Additional Excel 2007 OLAP Tools
Implementing Excel 2007 as a Data Mining Client
Configuring the Add-in
Using the Data Preparation Section
Examining the Connection Section
Using the Data Modeling Section
Using the Accuracy and Validation Section
Using the Model Usage Section
Management and Help Sections
Using the Data Mining Templates for Visio
Using SQL Server Reporting Services
Build an SSRS Report
View the SSRS Report
Design the SSRS Report
Deploy the SSRS Report
Report Builder
Implementing SharePoint Server BI Features
Excel 2007 Web Services
SharePoint Server Data Connection Libraries
SharePoint Server KPIs
Other SharePoint Server BI Capabilities