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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

An overview of database normalization

Database normalization is the process of organizing a database in a way that reduces redundancy and dependency within its tables. This is achieved by breaking a large table into smaller ones and linking them through foreign key relationships. Doing so leads to fewer data inconsistencies and improved data integrity. A normalized database results in a modular design that is easy to scale and modify.

Normalization occurs through escalating stages of formal rules called normal forms, ranging from the first normal form (1NF) to the sixth normal form (6NF)—although the first through third are most commonly used and are sufficient for most use cases.

Each normal form builds on the requirements of its predecessor and adds additional criteria that every database table must satisfy. A normal form is considered satisfied when every table in the database meets the criteria laid out for it (and, by extension, its predecessors).

Neglecting normalization...

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