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

Database Naming and Structure

In previous chapters, we took a database design through the necessary steps to transform it into a logical model. While a logical model is database-independent, it is close enough to a physical design that it can easily be adapted and deployed to any database. However, before tackling the Snowflake-specific properties of the data model—which will be covered in the following chapter—we should get acquainted with naming conventions and database organization best practices that govern all database designs.

Naming conventions are the guiding principles with which database objects are constructed. Consistent naming standards reduce uncertainty for developers and help business users orient themselves within a database and find the required data assets. Beyond object naming, this chapter will also cover the structure of the database itself, organizing it into logical groupings by schema, which improves usability. Finally, we will look at database...