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

Summary

In this chapter, we looked back at the history of relational modeling and the various notation styles that have been used to help visualize the designs. Focusing on the most straightforward and practical semantics of these modeling styles, we could zero in on a pragmatic approach that preserves technical precision while being simple enough to be understood even by people without a formal background in database design. The modeling technique proposed in this book keeps the number of entities synchronized across conceptual, logical, and physical models, thus saving manual effort and ensuring that anyone at any level of detail can view the same model.

Using the consolidated list of modeling conventions, we looked at how to display an entity on a relational diagram in the simplest way possible. Next, we covered relationship notation and the additional context that can be conveyed beyond a simple line using two of the most popular conventions in database modeling: crow’...