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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
Languages
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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

Preface

Snowflake is one of the leading cloud data platforms and is gaining popularity among organizations looking to migrate their data to the cloud. With its game-changing features, Snowflake is unlocking new possibilities for self-service analytics and collaboration. However, Snowflake’s scalable consumption-based pricing model demands that users fully understand its revolutionary three-tier cloud architecture and pair it with universal modeling principles to ensure they are unlocking value and not letting money vaporize into the cloud.

Data modeling is essential for building scalable and cost-effective designs in data warehousing. Effective modeling techniques not only help businesses build efficient data models but also enable them to better understand their business. Though modeling is largely database-agnostic, pairing modeling techniques with game-changing Snowflake features can help build Snowflake’s most performant and cost-effective solutions.

This book combines the best practices in data modeling with Snowflake’s powerful features to offer you the most efficient and effective approach to data modeling in Snowflake. Using these techniques, you can optimize your data warehousing processes, improve your organization’s data-driven decision-making capabilities, and save valuable time and resources.

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