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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

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Product type Paperback
Published in Sep 2025
Publisher Packt
ISBN-13 9781837028030
Length 432 pages
Edition 2nd Edition
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Author (1):
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Serge Gershkovich Serge Gershkovich
Author Profile Icon Serge Gershkovich
Serge Gershkovich
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Toc

Table of Contents (28) Chapters Close

Preface 1. Core Concepts in Data Modeling and Snowflake Architecture
2. Unlocking the Power of Modeling FREE CHAPTER 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 25. Other Books You May Enjoy
26. Index
Appendix

The benefit of synchronized modeling

Throughout this chapter, we have seen examples of diagrams describing data models and capturing details that may not have a strict corollary in SQL. By simplifying modeling to its core components—many of which are likely to be understood even by people without a formal background in database design—we ensure that modeling is not confined solely to the database team. As you recall, a model describes not only the database but also the business itself.

Keeping the physical and conceptual models in sync provides another benefit: the model can be viewed at any time at various levels of abstraction because the underlying physical elements remain the same. Users can view the model at a physical level when more detail is needed and flip to a conceptual view if they wish to see it more abstractly.

To illustrate this, the various diagrams in Figure 7.12 are displayed side by side, demonstrating how physical and conceptual elements can...

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