Copyright
by Michelle C. Dy, Michael W. Hawkins, Mark Humphries
Data Warehousing: Architecture and Implementation
- Copyright
- Preface
- 1. Introduction
- 1. The Enterprise IT Architecture
- The Past: Evolution of Enterprise Architectures
- The Present: The IT Professional's Responsibility
- Business Perspective
- Technology Perspective
- Architecture Migration Scenarios
- Migration Strategy: How Do We Move Forward?
- In Summary
- 2. Data Warehouse Concepts
- 1. The Enterprise IT Architecture
- 2. People
- 3. The Project Sponsor
- How Will a Data Warehouse Affect our Decision-Making Processes?
- How Does a Data Warehouse Improve My Financial Processes? Marketing? Operations?
- When Is a Data Warehouse Project Justified?
- What Expenses Are Involved?
- What Are the Risks?
- Risk-Mitigating Approaches
- Is My Organization Ready for a Data Warehouse?
- How Do I Measure the Results?
- In Summary
- 4. The CIO
- How Do I Support the Data Warehouse?
- How Will My Data Warehouse Evolve?
- Who Should Be Involved in a Data Warehouse Project?
- Steering Committee
- User Reference Group
- Warehouse Driver
- Warehouse Project Manager
- Business Analyst(s)
- Warehouse Data Architect
- Metadata Administrator
- Warehouse DBA
- Source System Database Administrators (DBAs) and System Administrators (SAs)
- Conversion and Extraction Programmer(s)
- Technical and Network Architect
- Trainer
- What Is the Team Structure Like?
- What New Skills Will My People Need?
- How Does Data Warehousing Fit into My IT Architecture?
- How Many Vendors Do I Need to Talk to?
- What Should I Look for in a Data Warehouse Vendor?
- How Does Data Warehousing Affect My Existing Systems?
- Data Warehousing and Its Impact on Other Enterprise Initiatives
- When Is a Data Warehouse Not Appropriate?
- How Do I Manage or Control a Data Warehouse Initiative?
- In Summary
- 5. The Project Manager
- How Do I Roll Out a Data Warehouse Initiative?
- How Important Is the Hardware Platform?
- What Technologies Are Involved?
- Do I Still Use Relational Databases for Data Warehousing?
- How Long Does a Data Warehousing Project Last?
- How Is a Data Warehouse Different from Other IT Projects?
- What Are the Critical Success Factors of a Data Warehousing Project?
- In Summary
- 3. The Project Sponsor
- 3. Process
- 6. Warehousing Strategy
- Strategy Components
- Determine Organizational Context
- Conduct Preliminary Survey of Requirements
- Conduct Preliminary Source System Audit
- Identify External Data Sources (If Applicable)
- Define Warehouse Roolouts (Phased Implementation)
- Define Preliminary Data Warehouse Architecture
- Evaluate Development and Production Environment and Tools
- In Summary
- 7. Warehouse Management and Support Processes
- 8. Data Warehouse Planning
- Assemble and Orient Team
- Conduct Decisional Requirements Analysis
- Conduct Decisional Source System Audit
- Design Logical and Physical Warehouse Schema
- Produce Source-to-Target Field Mapping
- Select Development and Production Environment and Tools
- Create Prototype for This Rollout
- Create Implementation Plan of This Rollout
- Warehouse Planning Tips and Caveats
- In Summary
- 9. Data Warehouse Implementation
- Acquire and Set Up Development Environment
- Obtain Copies of Operational Tables
- Finalize Physical Warehouse Schema Design
- Build or Configure Extraction and Transformation Subsystems
- Build or Configure Data Quality Subsystem
- Build Warehouse Load Subsystem
- Set Up Warehouse Metadata
- Set Up Data Access and Retrieval Tools
- Perform the Production Warehouse Load
- Conduct User Training
- Conduct User Testing and Acceptance
- In Summary
- 6. Warehousing Strategy
- 4. Technology
- 10. Hardware and Operating Systems
- 11. Warehousing Software
- 12. Warehouse Schema Design
- OLTP Systems Use Normalized Data Structures
- Dimensional Modeling for Decisional Systems
- Two Types of Tables: Facts and Dimensions
- A Schema Is a Fact Table Plus Its Related Dimension Tables
- Facts Are Fully Normalized, Dimensions Are Denormalized
- Dimensional Hierarchies and Hierarchical Drilling
- The Time Dimension
- The Granularity of the Fact Table
- The Fact Table Key Concatenates Dimension Keys
- Aggregates or Summaries
- Dimensional Attributes
- Multiple Star Schemas
- Core and Custom Tables
- In Summary
- 13. Warehouse Metadata
- 14. Warehousing Applications
- 5. Where to Now?
- 15. Warehouse Maintenance and Evolution
- Regular Warehous Loads
- Warehouse Statistics Collection
- Warehouse User Profiles
- Security and Access Profiles
- Data Quality
- Data Growth
- Updates to Warehouse Subsystems
- Database Optimization and Tuning
- Data Warehouse Staffing
- Warehouse Staff and User Training
- Subsequent Warehouse Rollouts
- Chargeback Schemes
- Disaster Recovery
- In Summary
- 16. Warehousing Trends
- Continued Growth of the Data Warehouse Industry
- Increased Adoption of Warehousing Technology by More Industries
- Increased Maturity of Data Mining Technologies
- Emergence and Use of Metadata Interchange Standards
- Increased Availability of Web-Enabled Solutions
- Popularity of Windows NT for Data Mart Projects
- Availability of Warehousing Modules for Application Packages
- More Mergers and Acquisitions Among Warehouse Players
- In Summary
- 15. Warehouse Maintenance and Evolution
- 6. Appendices
- A. R/OLAPXL® User's Manual
- Welcome to R/OLAPXL!
- Installation
- Tutorial
- User's Guide
- Working with R/OLAPXL Columns
- Adding a R/OLAPXL Column
- Moving a R/OLAPXL Column
- Deleting R/OLAPXL Columns
- Using Derived Columns
- Using Functions
- Drilling Up and Down Using R/OLAPXL Columns
- Ad Hoc Drills
- Hierarchical Drills
- Drilling Up Hierarchically
- Drilling Down Hierarchically
- Drilling To Hierarchically
- Constraining Your R/OLAPXL Worksheet
- Constraint Sets in R/OLAPXL
- Setting R/OLAPXL Options
- Rerun Report After Drilling
- Start Cell
- Suppress Repeating Values
- Cascading User Formulas in the Report Body
- Running a R/OLAPXL Report
- Using Subtotals
- Subtotals and Column Suppressing
- Subtotals and Sorting
- Sorting R/OLAPXL Reports
- Sorting and Column Suppressing
- Sorting and Subtotals
- Using Pivot Tables with your R/OLAPXL Reports
- Pivot Table Data Sources
- Commands for R/OLAPXL Pivot Table Reports
- New or View R/OLAPXL Pivot Report
- View R/OLAPXL Pivot Report Source
- Refresh R/OLAPXL Pivot Report
- Other Pivot Table Commands
- Viewing R/OLAPXL SQL Statements
- The R/OLAPXL Toolbars
- Macro Programming
- R/OLAPXL Messages
- B. Warehouse Designer® User's Manual
- C. Online Data Warehousing Resources
- D. Tool and Vendor Inventory
- E. Software License Agreement
- A. R/OLAPXL® User's Manual
Acquisitions editor: Greg Doench
Cover designer: Talar Agasyan
Cover design director: Jerry Votta
Manufacturing editor: Alexis R. Heydt
Marketing manager: Kaylie Smith
Compositor/Production services: Pine Tree Composition, Inc.
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