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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

Fact table types

By capturing the daily operational transactions of an organization, fact tables tend to contain large amounts of records that are constantly growing. By analyzing the data in fact tables, analysts and business users glean insights into business performance and identify trends and patterns. Considering these demands, fact tables must be designed in such a way that balances data loading efficiency with analytical needs and query patterns.

After nearly 20 years and three editions, the definitive guide to designing fact tables remains The Data Warehouse Toolkit. In it, authors Ralph Kimball and Margy Ross expertly cover the fundamentals of dimensional modeling, fact table design, and related industry case studies. This chapter will not attempt to replicate the content to which Kimball and Ross have dedicated nearly a quarter of their book. Instead, we will focus on what The Data Warehouse Toolkit does not cover: database-specific transformations for managing and maintaining...

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