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Index
Cover
Introduction
Intended Audience
Chapter Preview
Website Resources
Summary
Chapter 1: Data Warehousing, Business Intelligence, and Dimensional Modeling Primer
Different Worlds of Data Capture and Data Analysis
Goals of Data Warehousing and Business Intelligence
Dimensional Modeling Introduction
Kimball's DW/BI Architecture
Alternative DW/BI Architectures
Dimensional Modeling Myths
More Reasons to Think Dimensionally
Agile Considerations
Summary
Chapter 2: Kimball Dimensional Modeling Techniques Overview
Fundamental Concepts
Basic Fact Table Techniques
Basic Dimension Table Techniques
Integration via Conformed Dimensions
Dealing with Slowly Changing Dimension Attributes
Dealing with Dimension Hierarchies
Advanced Fact Table Techniques
Advanced Dimension Techniques
Special Purpose Schemas
Chapter 3: Retail Sales
Four-Step Dimensional Design Process
Retail Case Study
Dimension Table Details
Retail Schema in Action
Retail Schema Extensibility
Factless Fact Tables
Dimension and Fact Table Keys
Resisting Normalization Urges
Summary
Chapter 4: Inventory
Value Chain Introduction
Inventory Models
Fact Table Types
Value Chain Integration
Enterprise Data Warehouse Bus Architecture
Conformed Dimensions
Conformed Facts
Summary
Chapter 5: Procurement
Procurement Case Study
Procurement Transactions and Bus Matrix
Slowly Changing Dimension Basics
Hybrid Slowly Changing Dimension Techniques
Slowly Changing Dimension Recap
Summary
Chapter 6: Order Management
Order Management Bus Matrix
Order Transactions
Invoice Transactions
Accumulating Snapshot for Order Fulfillment Pipeline
Summary
Chapter 7: Accounting
Accounting Case Study and Bus Matrix
General Ledger Data
Budgeting Process
Dimension Attribute Hierarchies
Consolidated Fact Tables
Role of OLAP and Packaged Analytic Solutions
Summary
Chapter 8: Customer Relationship Management
CRM Overview
Customer Dimension Attributes
Bridge Tables for Multivalued Dimensions
Complex Customer Behavior
Customer Data Integration Approaches
Low Latency Reality Check
Summary
Chapter 9: Human Resources Management
Employee Profile Tracking
Headcount Periodic Snapshot
Bus Matrix for HR Processes
Packaged Analytic Solutions and Data Models
Recursive Employee Hierarchies
Multivalued Skill Keyword Attributes
Survey Questionnaire Data
Summary
Chapter 10: Financial Services
Banking Case Study and Bus Matrix
Dimension Triage to Avoid Too Few Dimensions
Supertype and Subtype Schemas for Heterogeneous Products
Hot Swappable Dimensions
Summary
Chapter 11: Telecommunications
Telecommunications Case Study and Bus Matrix
General Design Review Considerations
Design Review Guidelines
Draft Design Exercise Discussion
Remodeling Existing Data Structures
Geographic Location Dimension
Summary
Chapter 12: Transportation
Airline Case Study and Bus Matrix
Extensions to Other Industries
Combining Correlated Dimensions
More Date and Time Considerations
Localization Recap
Summary
Chapter 13: Education
University Case Study and Bus Matrix
Accumulating Snapshot Fact Tables
Factless Fact Tables
More Educational Analytic Opportunities
Summary
Chapter 14: Healthcare
Healthcare Case Study and Bus Matrix
Claims Billing and Payments
Electronic Medical Records
Facility/Equipment Inventory Utilization
Dealing with Retroactive Changes
Summary
Chapter 15: Electronic Commerce
Clickstream Source Data
Clickstream Dimensional Models
Integrating Clickstream into Web Retailer's Bus Matrix
Profitability Across Channels Including Web
Summary
Chapter 16: Insurance
Insurance Case Study
Policy Transactions
Premium Periodic Snapshot
More Insurance Case Study Background
Claim Transactions
Claim Accumulating Snapshot
Policy/Claim Consolidated Periodic Snapshot
Factless Accident Events
Common Dimensional Modeling Mistakes to Avoid
Summary
Chapter 17: Kimball DW/BI Lifecycle Overview
Lifecycle Roadmap
Lifecycle Launch Activities
Lifecycle Technology Track
Lifecycle Data Track
Lifecycle BI Applications Track
Lifecycle Wrap-up Activities
Common Pitfalls to Avoid
Summary
Chapter 18: Dimensional Modeling Process and Tasks
Modeling Process Overview
Get Organized
Design the Dimensional Model
Summary
Chapter 19: ETL Subsystems and Techniques
Round Up the Requirements
The 34 Subsystems of ETL
Extracting: Getting Data into the Data Warehouse
Cleaning and Conforming Data
Delivering: Prepare for Presentation
Managing the ETL Environment
Summary
Chapter 20: ETL System Design and Development Process and Tasks
ETL Process Overview
Develop the ETL Plan
Develop One-Time Historic Load Processing
Develop Incremental ETL Processing
Real-Time Implications
Summary
Chapter 21: Big Data Analytics
Big Data Overview
Recommended Best Practices for Big Data
Summary
Index
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