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Table Of Contents
Data Modeling with Snowflake - Second Edition
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Data Modeling with Snowflake
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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.
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Table of Contents (27 chapters)
Preface
Part 1: Core Concepts in Data Modeling and Snowflake Architecture
Unlocking the Power of Modeling
An Introduction to the Four Modeling Types
Mastering Snowflake’s Architecture
Mastering Basic Snowflake Objects
From Logical Concepts to Snowflake Objects
Mastering Advanced Snowflake Objects
Seeing Snowflake’s Architecture Through Modeling Notation
Part 2: Applied Modeling from Idea to Deployment
Putting Conceptual Modeling into Practice
Putting Logical Modeling into Practice
Database Normalization
Database Naming and Structure
Putting Physical Modeling into Practice
Part 3: Solving Real-World Problems with Transformational Modeling
Putting Transformational Modeling into Practice
Modeling Slowly Changing Dimensions
Modeling Facts for Rapid Analysis
Modeling Semi-Structured Data
Modeling Hierarchies
Part 4: Data Modeling for Enterprise Teams
Scaling Data Models through Modern Techniques
Unlocking Value for Enterprise Organizations
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Index