SQL Server 2000 Data Warehousing
Training Series
Learn to administer information
systems that incorporate SQL Server 2000 Enterprise Edition. Learn to install
and configure SQL 2000 Server. Then create, manage, and troubleshoot SQL
2000 databases, extra and transfer data, and SQL 2000 Security. Paul Sheriff
and Michael Lee will teach you everything you need to know to manage your
data successfully.
About the Trainers
Paul D. Sheriff is the owner
of PDSA Inc., a Microsoft Solutions Provider for Visual Basic and SQL Server.
Paul has 10 years experience and is Visual Basic certified. He is one of
the top instructors on Visual Basic and speaks at Advisor Developer Conferences
and Microsoft TechEd every year. He is also the author of over 25 articles
in major publications.
Michael Lee is a Senior
Trainer and Consultant with Saqqara Technology, Inc., a MIcrosoft Certified
Partner located in Henderson, Nevada. Michael has over 10 years technology
training experience and has published numerous books about SQL Server and
Client/Server development. He is a popular speaker and presenter, and is
demanded at client sites and conferences all over the US and Europe.
Data Warehousing Level 1
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1.0 Introduction
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1.1 Topic Overview
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1.2 Transactional vs. Analytical
Data Systems
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1.3 Data Warehouse Defined
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1.4 Data Warehouses vs. Data
Marts/OLAP
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2.0 Dimensional Modeling &
Planning
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2.1 Entity-Relationship Modeling
vs. Dimensional Modeling
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2.2 Elements of the Dimensional
Model
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2.3 The Role of User Requirements
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2.4 Identifying Source Data
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2.5 Implementing the Data Warehouse
Bus
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3.0 Planning Facts
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3.1 What is a fact?
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3.2 Measures
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4.0 Planning Dimensions
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4.1 Planning Dimension Tables
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4.2 Planning a Hierarchy
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4.3 Special dimensions
Data Warehousing Level 2
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1.0 Building a Data Mart
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1.1 Creating the Database
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1.2 Creating the Fact Table
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1.3 Creating Dimension Tables
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1.4 Creating Constraints and
Indexes
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2.0 Loading the Data Mart
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2.1 Using Staging Tables
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2.2 Using Transact SQL for
Data Migration
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2.3 Loading Data using Data
Transformation Services
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2.4 Advanced DTS Issues
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2.5 Evaluating a Typical Load
Scenario
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3.0 Maintaining the Data Mart
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3.1 Backup and Restoration
Considerations
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3.2 Handling Changing Facts
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3.3 Handling Changing Dimensions
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3.4 Securing the Data Mart
Data Warehousing Level 3
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1.0 Introduction to OLAP
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1.1 OLAP Concepts
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1.2 Analysis Services Architecture
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2.0 Cube Basics
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2.1 Cube Basics & Measures
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2.2 Dimensions & Hierarchies
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2.3 Aggregations
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2.4 Using the Analysis Manager
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3.0 Creating Dimensions
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3.1 Defining Terms
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3.2 Creating Dimensions with
the Dimension Wizard
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3.3 Creating Time Dimensions
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3.4 Using the Dimension Editor
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3.5 Basic Dimension Properties
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3.6 Using Member Properties
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3.7 Virtual Dimensions
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3.8 Multiple Hierarchies
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4.0 Creating Cubes
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4.1 Selecting Facts and Measures
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4.2 Choosing Dimensions
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4.3 Creating Calculated Measures
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4.4 Storage Models
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4.5 Processing Dimensions
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4.6 Processing Cubes
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4.7 Using Cube Properties
Data Warehousing Level 4
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1.0 Managing Cube Partitions
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1.1 Partitions Concepts
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1.2 Creating Cube Partitions
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1.3 Merging Partitions
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2.0 Optimizing Cubes
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2.1 Optimizing Aggregations
with Storage Models
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2.2 Usage-Based Optimizations
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2.3 Tuning the Analysis Server
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3.0 Special Features
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3.1 Using Drillthrough
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3.2 Creating and Using Actions
(Demo: Custom actions)
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4.0 Connecting Clients Using
OLE DB
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4.1 Analysis Application Architecture
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4.2 Using Excel as an Analysis
Server Client
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4.3 Overview of Client Interfaces
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5.0 Introduction to Data Mining
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5.1 Data Mining Basics
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5.2 Creating Data Mining Models
Data Warehousing Level 5
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1.0 MDX Concepts Overview
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1.1 What is MDX?
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1.2 Role of MDX in Application
Architecture
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1.3 Creating Calculated Members
Within Cubes
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1.4 Using MDX in Client
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1.5 MDX Examples
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2.0 Creating Simple MDX Expressions
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2.1 Understanding the Hierarchy
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2.2 Using Brackets
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2.3 Identifying Members
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2.4 Qualifying Sets of Members
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2.5 Creating Calculated Members
(Demo: Creating a Calculated Member)
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3.0 Interacting with Cubes
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3.1 Anatomy of an MDX Query
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3.2 Basic MDX Queries
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3.3 Tuple Expressions (Demo:
_____)
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4.0 Performing Aggregations
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4.1 Calculating data in an
MDX Query
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4.2 Using Aggregate Functions
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4.3 Using Time Set Functions
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5.0 Using MDX with ADOMD
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5.1 Connecting to an Analysis
Server
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5.2 Executing an MDX Query
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5.3 Manipulating Results
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