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Data Modeling with Snowflake

A practical guide to accelerating Snowflake development using universal modeling techniques

SG

Created by Serge Gershkovich

Learn how to design efficient, scalable data models that make the most of Snowflake's cloud-native features. You'll move beyond theory to apply proven modeling techniques directly within Snowflake, helping you deliver faster, smarter data solutions while keeping costs in check.

Packt | Sep 2025 | 432 min

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

What You Will Learn

You'll build skills by working through real-world examples that connect universal modeling principles with Snowflake's native objects. Step-by-step guidance helps you apply concepts like normalization and slowly changing dimensions, while hands-on SQL recipes show you how to shape and transform your data for real business needs.

Key Features

  • Design efficient data models using Snowflake's unique architecture and features
  • Translate business needs into clear models with a universal modeling language
  • Transform and optimize data with practical SQL recipes tailored for Snowflake

Target Audience

Ideal for developers, analysts, and data professionals who want to strengthen their modeling skills and make better use of Snowflake. If you have some SQL experience but want to create smarter, more cost-effective data solutions, you'll find practical foundations and advanced techniques to accelerate your work.

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