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Data Modeling with Snowflake

You're reading from Data Modeling with Snowflake A practical guide to accelerating Snowflake development using universal modeling techniques

Product type Paperback

Published in Sep 2025

Publisher Packt

ISBN-13 9781837028030

Length 432 pages

Edition 2nd Edition

Tools

Snowflake

Concepts

Data Engineering

Author (1):

Serge Gershkovich

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Table of Contents (28) Chapters

Preface

1. Core Concepts in Data Modeling and Snowflake Architecture FREE CHAPTER

2. Unlocking the Power of Modeling

3. An Introduction to the Four Modeling Types

4. Mastering Snowflake’s Architecture

5. Mastering Basic Snowflake Objects

6. From Logical Concepts to Snowflake Objects

7. Mastering Advanced Snowflake Objects

8. Seeing Snowflake’s Architecture Through Modeling Notation

9. Applied Modeling from Idea to Deployment

10. Putting Conceptual Modeling into Practice

11. Putting Logical Modeling into Practice

12. Database Normalization

13. Database Naming and Structure

14. Putting Physical Modeling into Practice

15. Solving Real-World Problems with Transformational Modeling

16. Putting Transformational Modeling into Practice

17. Modeling Slowly Changing Dimensions

18. Modeling Facts for Rapid Analysis

19. Modeling Semi-Structured Data

20. Modeling Hierarchies

21. Data Modeling for Enterprise Teams

22. Scaling Data Models through Modern Techniques

23. Unlocking Value for Enterprise Organizations

24. Unlock Your Exclusive Benefits

Unlock this Book’s Free Benefits in 3 Easy Steps

25. Other Books You May Enjoy

26. Index

Appendix

Technical requirements

The scripts used to instantiate and load the examples in this chapter are available in the following GitHub repo: https://github.com/PacktPublishing/Data-Modeling-with-Snowflake-2E/tree/main/extras.

The rest of the chapter is locked

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Authors (1)

Serge Gershkovich

Serge Gershkovich

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.

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