Book Image

Data Modeling with Snowflake

By : Serge Gershkovich
5 (2)
Book Image

Data Modeling with Snowflake

5 (2)
By: Serge Gershkovich

Overview of this 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.
Table of Contents (24 chapters)
1
Part 1: Core Concepts in Data Modeling and Snowflake Architecture
8
Part 2: Applied Modeling from Idea to Deployment
14
Part 3: Solving Real-World Problems with Transformational Modeling

Part 3: Solving Real-World Problems with Transformational Modeling

This part focuses on advanced transformational modeling techniques and covers the theory and practice of putting them into action in Snowflake. First, we explore slowly changing dimensions—critical for maintaining historical data accuracy and ensuring consistency across different versions of data. Then, we learn how to model facts for rapid analysis, including best practices for optimizing query performance. We then explore semi-structured data formats and hierarchies, which are becoming increasingly prevalent and which Snowflake is so adept at handling. This part also covers the basics of Data Vault methodology for building agile, scalable, and auditable architectures, as well as Data Mesh, which is becoming an increasingly popular approach to managing data domains at scale across large organizations. Finally, you will experiment hands-on with fun and effective SQL recipes that couldn’t be included...