DIMENSIONAL MODELING: The Definitive Guide to Designing Analytical Data Warehouses
Format:
Kindle
Sin stock
0.84 kg
No
Nuevo
Amazon
USA
- DIMENSIONAL MODELING: The Definitive Guide to Designing Analytical Data Warehouses is a comprehensive, practical guide for anyone responsible for designing, building, or using analytical data systems. Written for both technical professionals and business-focused readers, this book explains dimensional modeling from first principles through real-world application, providing a clear framework for turning complex data into trusted, decision-ready insight.The book covers the full lifecycle of dimensional modeling, including analytical requirements, fact and dimension design, star and snowflake schemas, slowly changing dimensions, time and date modeling, performance optimization, governance, and long-term maintenance. Each topic is explored in depth, with a strong emphasis on business meaning, data consistency, and analytical usability rather than abstract theory or vendor-specific tools.What sets this book apart is its focus on clarity, durability, and real-world relevance. It explains not just how to design dimensional models, but why certain design choices matter and how they affect performance, scalability, and trust. Readers will gain the skills needed to design analytical warehouses that support business intelligence, reporting, and modern analytics with confidence.Ideal for data engineers, analytics architects, BI professionals, and decision-makers, this book serves as both a foundational reference and a long-term guide for building analytical systems that last.
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