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Data Warehouse (3.Planning and Project Management (1.Planning Your Data…
Data Warehouse
3.Planning and Project Management
3.The Development Phase
4.The Project Team
Organizing The Project Team
Roles and Reposibility
Skills and Exp Level
User Paticipation
2.The Data Warehouse Project
How Is It Different
The Life-Cycle Approach
5.Project Management Considerations
Guilding Principle
Warning Sign
Success Factors
Anatomy of a Successful Project
Adopt a Practical Approach
1.Planning Your Data Warehouse
Top Management Support
Business Requirement, Not Technology
Single Vendor or Best-Of-Breed
Build or Buy
Top-Down or Bottom-Up
Risk Assessment
Value and Expectation
Justifying Your Data Warehouse
2.Data Warehouse: The Building Blocks
1.Defining Features
Nonvolatile Data
Time-Variant Data
Integrated Data
Data Granularity
Subject-Oriented Data
2.Data Warehouses and Data Marts
Top-Down vs Bottom-Up Approach
A Practical Approach
How they Different
3.Overview Of The Components
Data Storage Component
Infomation Delivery Component
Data Staging Component
Metadata Component
Source Data Component
Management and Control Component
4.Business Requirement
Chap 5: Defining The Business Requirement
3.Requirement Gathering Methods
2.Infomation Packages
1.Dimentional Analysis
Chap 6: Requirements As The Driving Force For Data Warehouse
1.Data Design
2.The Architectural Plan
3.Data Storage Specification
4.Infomation Delivery Stragery
1.Introduction