Data Modeling with Snowflake
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Data Modeling with Snowflake

A practical guide to accelerating Snowflake development using universal data modeling techniques

About the Book

The Snowflake Data Cloud is one of the fastest-growing platforms for data warehousing and application workloads. Snowflake's scalable, cloud-native architecture and expansive set of features and objects enables you to deliver data solutions quicker than ever before.

Yet, we must ensure that these solutions are developed using recommended design patterns and accompanied by documentation that’s easily accessible to everyone in the organization.

This book will help you get familiar with simple and practical data modeling frameworks that accelerate agile design and evolve with the project from concept to code. These universal principles have helped guide database design for decades, and this book pairs them with unique Snowflake-native objects and examples like never before – giving you a two-for-one crash course in theory as well as direct application.

By the end of this Snowflake book, you’ll have learned how to leverage Snowflake’s innovative features, such as time travel, zero-copy cloning, and change-data-capture, to create cost-effective, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples.

About the Author

Packt Publishing Ltd
Packt Publishing Ltd

Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com

Table of Contents

  1. Unlocking the Power of Modeling
  2. An Introduction to the Four Modeling Types
  3. Mastering Snowflake's Architecture
  4. Mastering Snowflake Objects
  5. Speaking Modeling through Snowflake Objects
  6. Seeing Snowflake's Architecture through Modeling Notation
  7. Putting Conceptual Modeling into Practice
  8. Putting Logical Modeling into Practice
  9. Database Normalization
  10. Database Naming and Structure
  11. Putting Physical Modeling into Practice
  12. Putting Transformational Modeling into Practice
  13. Modeling Slowly Changing Dimensions
  14. Modeling Facts for Rapid Analysis
  15. Modeling Semi-Structured Data
  16. Modeling Hierarchies
  17. Scaling Data Models through Modern Techniques
  18. Appendix

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