Best Data Warehouse Books

1. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition (2012): Written by Ralph Kimball and Margy Ross, this book is a comprehensive guide to dimensional modelling for data warehousing and business intelligence. It covers the latest best practices, along with real-world case studies illustrating how leading companies have solved specific data warehouse design and implementation challenges.

2. Designing Data-Intensive Applications (2017): Written by Martin Kleppmann, this book is a comprehensive guide to data architecture, data modelling, and database design. It covers the latest best practices as well as the most up-to-date technologies and techniques for designing data-intensive applications.

3. Data Warehouse Design Solutions (2013): Written by Mark Whitehorn and Robert Laberge, this book is a comprehensive guide to designing, building, and implementing data warehousing solutions. It covers the latest best practices as well as the most up-to-date techniques and technologies for designing and optimizing data warehouses.

4. Building the Data Warehouse (2009): Written by William H. Inmon, this book is a comprehensive guide to data warehousing and business intelligence. It covers the latest best practices as well as the most up-to-date techniques and technologies for designing and optimizing data warehouses.

5. Data Warehouse Design: Modern Principles and Methodologies (2009): Written by Matthew West, this book is a comprehensive guide to data warehousing and business intelligence. It covers the latest best practices as well as the most up-to-date techniques and technologies for designing and optimizing data warehouses.