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

Fact table types

By capturing the daily operational transactions of an organization, fact tables tend to contain large amounts of records that are constantly growing. By analyzing the data in fact tables, analysts and business users glean insights into business performance and identify trends and patterns. Considering these demands, fact tables must be designed in such a way that balances data loading efficiency with analytical needs and query patterns.

After nearly 20 years and three editions, the definitive guide to designing fact tables remains The Data Warehouse Toolkit. In it, authors Ralph Kimball and Margy Ross expertly cover the fundamentals of dimensional modeling, fact table design, and related industry case studies. This chapter will not attempt to replicate the content to which Kimball and Ross have dedicated nearly a quarter of their book. Instead, we will focus on what The Data Warehouse Toolkit does not cover: database-specific transformations for managing and maintaining...