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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 data modeling techniques

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837634453
Length 324 pages
Edition 1st Edition
Languages
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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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Table of Contents (24) Chapters Close

Preface 1. Part 1: Core Concepts in Data Modeling and Snowflake Architecture
2. Chapter 1: Unlocking the Power of Modeling FREE CHAPTER 3. Chapter 2: An Introduction to the Four Modeling Types 4. Chapter 3: Mastering Snowflake’s Architecture 5. Chapter 4: Mastering Snowflake Objects 6. Chapter 5: Speaking Modeling through Snowflake Objects 7. Chapter 6: Seeing Snowflake’s Architecture through Modeling Notation 8. Part 2: Applied Modeling from Idea to Deployment
9. Chapter 7: Putting Conceptual Modeling into Practice 10. Chapter 8: Putting Logical Modeling into Practice 11. Chapter 9: Database Normalization 12. Chapter 10: Database Naming and Structure 13. Chapter 11: Putting Physical Modeling into Practice 14. Part 3: Solving Real-World Problems with Transformational Modeling
15. Chapter 12: Putting Transformational Modeling into Practice 16. Chapter 13: Modeling Slowly Changing Dimensions 17. Chapter 14: Modeling Facts for Rapid Analysis 18. Chapter 15: Modeling Semi-Structured Data 19. Chapter 16: Modeling Hierarchies 20. Chapter 17: Scaling Data Models through Modern Techniques 21. Index 22. Other Books You May Enjoy Appendix

Expanding from conceptual to logical modeling

In the previous chapter, we used Kimball’s four-step methodology to develop a bus matrix and create a conceptual model based on the recorded information. Details that informed the bus matrix were gathered through workshops and discussions between the data team and experts on the business side, who could elucidate the business’s operational model and create a functional artifact—the conceptual diagram.

The following diagram shows the conceptual model as it looked at the end of the exercise:

Figure 8.1 – The final conceptual diagram from Chapter 7

Figure 8.1 – The final conceptual diagram from Chapter 7

Despite the obvious deficiencies, such as missing attributes and Snowflake-specific object properties, the conceptual diagram did not attempt to add any contextual detail on the functional relationships between the entities, such as subtypes and many-to-many associations.

To uncover the relevant fields that should be added to our model...

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