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Data Modeling with Snowflake

Data Modeling with Snowflake - Second Edition

By : Serge Gershkovich
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Data Modeling with Snowflake

Data Modeling with Snowflake

By: Serge Gershkovich

Overview of this book

Struggling with rising Snowflake costs and constant tuning? Poorly aligned data models can lead to bloated expenses, inefficient queries, and time-consuming rework. Data Modeling with Snowflake helps you harness the Snowflake Data Cloud’s scalable, cloud-native architecture and expansive feature set to deliver data solutions faster than ever. This book introduces simple, practical data modeling frameworks that accelerate agile design and evolve alongside your projects from concept to code. Rooted in decades of proven database design principles, these frameworks are paired, for the first time, with Snowflake-native objects and real-world examples, offering a two-in-one crash course in theory and direct application. Through real-world examples designed to make learning easy, you’ll leverage Snowflake’s innovative features like Time Travel, Zero-Copy Cloning, and Change Data Capture (CDC) to create cost-efficient solutions. Whether you're just starting out or refining your architecture, this book will guide you in designing smarter, scaling faster, and cutting costs by aligning timeless modeling principles with the power of Snowflake. *Email sign-up and proof of purchase required
Table of Contents (27 chapters)
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1
Part 1: Core Concepts in Data Modeling and Snowflake Architecture
9
Part 2: Applied Modeling from Idea to Deployment
15
Part 3: Solving Real-World Problems with Transformational Modeling
21
Part 4: Data Modeling for Enterprise Teams
23
Unlocking Value for Enterprise Organizations
24
Other Books You May Enjoy
25
Index

Mastering Basic Snowflake Objects

The previous chapter introduced the innovative architecture that powers the Data Cloud and unlocks possibilities that have never been possible in other databases. In this chapter, we will explore the database objects that Snowflake customers will use in their modeling journey. Objects such as tables and views will undoubtedly be familiar to most people who have previously worked with SQL. Still, even here, Snowflake’s unique features unlock potential efficiencies in designing physical models, so users should be well acquainted with them.

Due to its variable pricing, Snowflake data modeling requires users to understand the cost/performance trade-offs of its supported objects and their parameters. For those who have never worked with Snowflake, exclusive features such as streams and external tables may still be unfamiliar. Making good design decisions demands that users have a firm grasp and a thorough understanding of Snowflake’s...

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