The first edition of Ralph Kimball’s “The Data Warehouse Toolkit” introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence Begins with fundamental design recommendations and progresses through increasingly complex scenarios Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more
Design dimensional databases that are easy to understand and provide fast query response with “The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.”
Ralph Kimball introduced the industry to the techniques of dimensional modeling in the first edition of “The Data Warehouse Toolkit” (1996). Since then, dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. “The Data Warehouse Toolkit” is recognized as the definitive source for dimensional modeling techniques, patterns, and best practices.
This third edition of the classic reference delivers the most comprehensive library of dimensional modeling techniques ever assembled. Fully updated with fresh insights and best practices, this book provides clear guidelines for designing dimensional models–and does so in a style that serves the needs of those new to data warehousing as well as experienced professionals.
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