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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

Seeing Snowflake’s Architecture Through Modeling Notation

Throughout this book, relational diagrams have been used to support examples and illustrate ideas in ways that words could not. Although various modeling styles and notations have been introduced, a thorough overview of the visual semantics of modeling and the various elements and their properties has not been covered.

In this chapter, we will run through the complete visual toolkit that will enable users to accelerate the design and understanding of a physical Snowflake database and add functional context through conceptual conventions. Using a simplified and pragmatic approach, users of any background can view and explore a database schema at the level of detail that best suits their needs.

In this chapter, we’re going to cover the following main topics:

  • Recalling the history of modeling styles and notations
  • Understanding the connection between the relational model and its visual depictions...
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Tech Concepts
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Programming languages
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Data Modeling with Snowflake
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