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

There is no escaping modeling. We use it in our everyday lives to plan and navigate the complexities of the world around us—databases are no exception. For some readers, the modeling styles presented in this chapter may be a new way of conceptualizing their database landscape, while others may be getting reacquainted with its notation and use cases. Whether thinking about a company business model or sharing a finalized design with team members, we all engage in modeling to varying degrees.

Embracing database modeling and learning to speak in a commonly understood language unlocks many time-saving and collaborative benefits for the entire organization. Thinking long-term and modeling strategically, as opposed to reacting tactically, aligns database designs to the business that they underpin, ensuring their viability. Having seen the advantages that modeling uncovers and where it can be implemented, we can begin to analyze its components to understand precisely where they should be used and how they form a natural design progression.

In the next chapter, we will explore the four modeling types used in database design and discuss where they excel and how they build on one another to help take an idea and evolve it into a technical system design while generating living project artifacts to navigate and maintain the final product.