The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence Remastered Collection
The final edition of the incomparable data warehousing and business intelligence reference, updated and expanded
The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience on more than 300 topics, all fully up-to-date and expanded with 65 new articles. The discussion covers the complete data warehouse/business intelligence lifecycle, including project planning, requirements gathering, system architecture, dimensional modeling, ETL, and business intelligence analytics, with each group of articles prefaced by original commentaries explaining their role in the overall Kimball Group methodology.
Data warehousing/business intelligence industry's current multi-billion dollar value is due in no small part to the contributions of Ralph Kimball and the Kimball Group. Their publications are the standards on which the industry is built, and nearly all data warehouse hardware and software vendors have adopted their methods in one form or another. This book is a compendium of Kimball Group expertise, and an essential reference for anyone in the field.
Ralph Kimball and the Kimball Group have continued to refine their methods and techniques based on thousands of hours of consulting and training. This Remastered Collection of The Kimball Group Reader represents their final body of knowledge, and is nothing less than a vital reference for anyone involved in the field.
The Reader at a Glance
Before You Dive In
Justification and Sponsorship
Enterprise Data Warehouse Bus Architecture
Dimension Table Core Concepts
More Dimension Patterns and Considerations
Addresses and International Issues
Back Room ETL and Data Quality
Populating Fact and Dimension Tables
Technical Architecture Considerations
Infrastructure and Security Considerations
Integration Instead of Centralization
Dimensional Modeling Fundamentals
Dimensional Modeling Tasks and Responsibilities
Fact Table Core Concepts
ParentChild Fact Tables