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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
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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

Converting semi-structured data into relational data

As we saw in the previous exercise, semi-structured data is flexible and can accommodate any amount of densely or sparsely nested elements. However, in nested objects, it can be inferred that lower-level elements are attributes of their immediate parents.

Observe the following simplified example of semi-structured data with three levels of nesting and use the indentation to count the depth.

Figure 15.5 – Observing the number of nested levels in a semi-structured object

Figure 15.5 – Observing the number of nested levels in a semi-structured object

Here, we can see that a (ship) type, of depth 2, is an attribute of ship, which is a level-one attribute of the root object. By this logic, if we follow the levels of a semi-structured object to its maximum depth N, those elements become attributes of an entity N-1. Then, N-1 entities become attributes of N-2, repeating recursively until arriving at the root.

In the current example, boarding axe and blunderbuss become instances...

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