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.
Learn data warehousing and business intelligence from the field's pioneers
Get up to date on best practices and essential design tips
Gain valuable knowledge on every stage of the project lifecycle
Dig into the Kimball Group methodology with hands-on guidance
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.
Table of Contents
Chapter 1 The Reader at a Glance
Chapter 2 Before You Dive In
Chapter 3 Project/Program Planning
Chapter 4 Requirements Definition
Chapter 5 Data Architecture
Chapter 6 Dimensional Modeling Fundamentals
Chapter 7 Dimensional Modeling Tasks and Responsibilities
Chapter 8 Fact Table Core Concepts
Chapter 9 Dimension Table Core Concepts
Chapter 10 More Dimension Patterns and Considerations
Chapter 11 Back Room ETL and Data Quality
Chapter 12 Technical Architecture Considerations
Chapter 13 Front Room Business Intelligence Applications
Chapter 14 Maintenance and Growth Considerations
Chapter 15 Final Thoughts
