“This book brilliantly bridges the gap between technical implementation and business value, offering a framework that's both immediately actionable and future-proof. Gershkovich's systematic approach to Snowflake modeling creates the foundation for scalable, intelligent data architectures that adapt to changing business needs.”

Adam Morton, Snowflake Data Superhero and Founder of the Mastering Snowflake Program, author of multiple titles, including Unlock Data Agility with Composable Data Architecture and Designing a Modern Application Data Stack

“A fantastic read for everyone focusing on effectively combining the latest advancements in Snowflake technology with the ground knowledge of data modelling. My go-to book for diving deeper into intricacies of Snowflake’s recent updates: Iceberg, dynamic and hybrid tables, and combining it with advanced modeling techniques. Delighted to see the evolution of the first edition with new concepts emerging, such as semantic models.”

Anastasiia Stefanska, Senior Data Analyst at TUI, Co-Founder of Women on Snowflake, Snowflake Data Superhero 2025

“By combining proven modeling principles with Snowflake’s most powerful capabilities, this book takes readers from concept to fully deployed, production-ready data models, while clearly conveying their value in business terms, supported by hands-on code examples. The result is stronger alignment between technical teams and decision makers, leading to models that are adopted, trusted, and used to deliver real business impact.”

Piers Batchelor, Snowflake Data Superhero, Senior Product Manager (AI/ML, Visualisation) at Astrato Analytics

“This new edition of Data Modeling with Snowflake masterfully unites data modeling fundamentals, Snowflake architecture essentials, and advanced data modeling techniques…. This book is a must-read for anyone serious about mastering both data modeling and Snowflake.”

Hamid Mahmood Qureshi, Sr. Data Architect/Lead Engineer at EY, Author of Snowflake Cookbook

“The second edition of Data Modeling with Snowflake is a book you’ll find yourself going back to again and again for insights and inspiration. In addition to excellent technical content, the author provides practical explanations and shares best practices for data modeling and deployment within the Snowflake environment.”

Joyce Kay Avila, Advisory Council Member of Harvard Business Review, Author of O'Reilly Snowflake Definitive Guide

“Serge's second edition book did not disappoint, and I recommend it to anyone new to Snowflake setup, not just when they're creating their data model or learning about data modeling. It's a great introduction to Snowflake itself. The book is filled with valuable details about the platform and how to make effective use of it.”

Augusto Rosa, Head of Data, Cloud and Security Architecture, Snowflake Data SuperHero

“What makes this book stand out is its practical focus on applying modeling principles within the Snowflake platform. Serge highlights the role of data modeling in today’s AI-driven era, underscoring why strong modeling foundations remain as critical as ever.”

Tomáš Sobotík, Senior Data Platform & Data Engineer at Norlys, Snowflake Data Superhero

“Fully updated, this second edition of Data Modeling with Snowflake includes Snowflake’s latest features and highlights how data modeling can drive real business value by helping decision-makers understand its impact. It's a detailed, practical guide for modern cloud data teams.”

Maja Ferle, Senior Consultant at In516ht, Snowflake Data Superhero, Author of Snowflake Data Engineering and SnowPro™ Core Certification Companion

“What sets this book apart is its deep integration with Snowflake’s architecture. Serge shows you how to design data models that work, not just in theory, but in the real world. He arms you with the verbal, visual, and technical skills to articulate, design, and implement robust, scalable, and cost-effective systems.”

Joe Reis, Instructor at DeepLearning.AI, Owner of ThinkQuick, LLC, Co-author of the bestselling Fundamentals of Data Engineering

Serge Gershkovich is a seasoned data architect with decades of experience designing and maintaining enterprise-scale data warehouse platforms and reporting solutions. He is a leading subject matter expert, speaker, content creator, and Snowflake Data Superhero. Serge earned a bachelor of science degree in information systems from the State University of New York (SUNY) Stony Brook. Throughout his career, Serge has worked in model-driven development from SAP BW/HANA to dashboard design to cost-effective cloud analytics with Snowflake. He currently serves as product success lead at SqlDBM, an online database modeling tool.