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

Seeing Snowflake’s Architecture through Modeling Notation

Throughout this book, relational diagrams have been used to support examples and illustrate ideas in ways that words could not. Although various modeling styles and notations have been introduced, a thorough overview of the visual semantics of modeling and the various elements and their properties has not been covered.

In this chapter, we will run through the complete visual toolkit that will enable users to accelerate the design and understanding of a physical Snowflake database and add functional context through conceptual conventions. Using a simplified and pragmatic approach, users of any background can view and explore a database schema at the level of detail that best suits their needs.

In this chapter, we’re going to cover the following main topics:

  • Recall the history of modeling styles and notations
  • Understand the connection between the relational model and its visual depictions
  • Learn...