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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

Database normalization through examples

Normalization was first proposed by Edgar F. Codd, the inventor of the relational model for database management. Codd introduced normalization in 1NF form and later extended it to 2NF and 3NF. Later, Codd, working with Raymond F. Boyce, developed Boyce-Codd Normal Form (BCNF), also called 3.5NF.

As database theory continues to develop, subsequent normal forms have been proposed up to 6NF, following the progression from least to most restrictive. While it is important to understand normalization in all its forms, it is also essential to recognize that typical business scenarios do not require going past 3NF.

To understand how normal forms organize a database and prevent data anomalies, we will run through an exercise of taking a wholly denormalized dataset and running it through the normalization rules required to satisfy each form. The exercises that follow use examples of data from the music industry. But, unlike the wide world of music...

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Data Modeling with Snowflake
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