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

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781837634453

Length 324 pages

Edition 1st Edition

Languages

SQL

Tools

Snowflake

Concepts

Data Engineering

Author (1):

Serge Gershkovich

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Table of Contents (24) Chapters

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

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Appendix

Expanding from logical to physical modeling

At this stage in the modeling journey—preparing to transform a logical model into a physical one—the use of a modeling tool will make a marked difference in the effort required to generate the final DDL. While this exercise can be done using anything from a sheet of paper to Excel, using a data modeling tool to accelerate the process is encouraged. (See the Technical requirements section of Chapter 1, Unlocking the Power of Modeling for a link to a free trial of SqlDBM—the only cloud-based tool that supports Snowflake and offers a free tier.)

Picking up from the finished logical model from Chapter 8, Putting Logical Modeling into Practice, let’s begin the physical transformation.

Physicalizing the logical objects

Logical models contain all the information needed to transform them into a physical design, but they are not one-to-one equivalent regarding the number of elements. Besides the direct translations...