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Data Modeling with Snowflake

A practical guide to accelerating Snowflake development using universal data modeling techniques

SG

Created by Serge Gershkovich

Explore practical data modeling techniques tailored for Snowflake's cloud-native platform. You'll learn how to design efficient, scalable data solutions by combining proven modeling frameworks with Snowflake's unique features. Real-world examples help you bridge theory and application for faster, more effective development.

Packt | May 2023 | 324 min

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LevelBeginner
CategoriesData Engineering, Data Warehousing and Big Data Processing Frameworks, SQL

What You Will Learn

You'll move from foundational modeling concepts to hands-on application using Snowflake's architecture. Each step introduces practical frameworks and demonstrates how to leverage features like time travel and zero-copy cloning. Real SQL examples show how to transform and manage data efficiently as you build your skills.

Key Features

  • Apply universal data modeling concepts using Snowflake-native objects and features
  • Communicate business value clearly with a shared modeling language across teams
  • Transform and optimize data with hands-on SQL recipes and real-world scenarios

Target Audience

Ideal for SQL developers and data professionals aiming to strengthen their modeling skills and streamline Snowflake projects. Whether you're new to Snowflake or looking to apply best practices, you'll gain actionable techniques to design, document, and optimize data solutions with confidence.

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