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  • Book Overview & Buying Data Modeling with Snowflake
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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

Summary

Snowflake’s hybrid cloud-native design, built for the cloud from the ground up, enables real-time data sharing and on-demand workload sizing that gives its users unparalleled flexibility—overcoming many scalability limitations of previous database architectures. Snowflake’s architecture allows secure data sharing between organizations across regions and cloud providers as quickly as it does between databases in the same account.

By understanding each of the layers that make up Snowflake’s cloud architecture (storage, compute, and services), we gained insight into how they enable powerful features such as zero-copy cloning, Time Travel, and hybrid HTAP tables. This chapter also outlined the costs of each of the three architecture layers and how to keep them in check. Furthermore, we discussed how various caching mechanisms across Snowflake’s architecture could work together to save costs and boost performance.

With so many revolutionary...

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Data Modeling with Snowflake
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