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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 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 25. Other Books You May Enjoy
26. Index
Appendix

Relationships as foreign keys

Any business can be broken down into a set of entities and their interactions. For example, customers place orders for items provided by suppliers while applying promotion codes from an active marketing campaign—which is still a very narrow slice of what goes on in a typical organization. So far, this chapter has focused on the entities themselves: orders, items, and suppliers, for example. Now it is time to focus on the interactions—or relationships, as they are called in modeling parlance—such as placing orders, providing items, and applying promotions.

When business entities are related, their corresponding tables must have a way to capture the details of the interaction. When a customer orders an item, the order details must capture who the customer is and what items they ordered. Remember, PKs identify a unique record in a table. Therefore, when two tables share a relationship, the PKs of one must be included in the other...

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