Data Modeling with Snowflake
Год издания: 2023
Автор: Gershkovich S.
Издательство: Packt
ISBN: 9781837634453
Язык: Английский
Формат: EPUB
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 324
Описание: 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.
Оглавление
Preface
Part 1: Core Concepts in Data Modeling and Snowflake Architecture
Chapter 1: Unlocking the Power of Modeling
Chapter 2: An Introduction to the Four Modeling Types
Chapter 3: Mastering Snowflake’s Architecture
Chapter 4: Mastering Snowflake Objects
Chapter 5: Speaking Modeling through Snowflake Objects
Chapter 6: Seeing Snowflake’s Architecture through Modeling Notation
Part 2: Applied Modeling from Idea to Deployment
Chapter 7: Putting Conceptual Modeling into Practice
Chapter 8: Putting Logical Modeling into Practice
Chapter 9: Database Normalization
Chapter 10: Database Naming and Structure
Chapter 11: Putting Physical Modeling into Practice
Part 3: Solving Real-World Problems with Transformational Modeling
Chapter 12: Putting Transformational Modeling into Practice
Chapter 13: Modeling Slowly Changing Dimensions
Chapter 14: Modeling Facts for Rapid Analysis
Chapter 15: Modeling Semi-Structured Data
Chapter 16: Modeling Hierarchies
Chapter 17: Scaling Data Models through Modern Techniques
Index
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Appendix
