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Data Modeling with Snowflake

You're reading from  Data Modeling with Snowflake

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781837634453
Pages 324 pages
Edition 1st Edition
Languages
Author (1):
Serge Gershkovich Serge Gershkovich
Profile icon Serge Gershkovich

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 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

Modeling in reverse

Real-world enterprise operational systems and data warehouses can reach heights of great complexity, especially if they have evolved over many years and absorbed untold numbers of dubious design decisions. Even the standing members of the data team may not be able to explain every detail, let alone a new hire or a business analyst. Fortunately, conceptual modeling can help simplify and visualize existing database landscapes as quickly as it does when starting new ones.

Database modeling tools allow users to take schema definitions as DDL and ingest them to generate a corresponding diagram—a process known as reverse engineering. Since all the table structures and constraints are already defined in the database, generating an ER diagram and visualizing the database landscape can be done in seconds. Because reverse engineering uses Snowflake object DDL, it produces physical models. As physical models contain the highest level of detail of all modeling types...

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