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  • Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques

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Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques

4.4 out of 5 stars (73)

Purchase options and add-ons

Discover how Snowflake's unique objects and features can be used to leverage universal modeling techniques through real-world examples and SQL recipes

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

  • Learn core modeling techniques tied to practical examples using native Snowflake architecture
  • Adopt a universal modeling language to communicate business value to functional teams
  • Go beyond physical modeling with SQL recipes to transform and shape your Snowflake data

Book Description

The Snowflake Data Cloud is one of the fastest-growing platforms for data warehousing and application workloads. Snowflake's scalable, cloud-native architecture and expansive set of features and objects enables you to deliver data solutions quicker than ever before.

Yet, we must ensure that these solutions are developed using recommended design patterns and accompanied by documentation that’s easily accessible to everyone in the organization.

This book will help you get familiar with simple and practical data modeling frameworks that accelerate agile design and evolve with the project from concept to code. These universal principles have helped guide database design for decades, and this book pairs them with unique Snowflake-native objects and examples like never before – giving you a two-for-one crash course in theory as well as direct application.

By the end of this Snowflake book, you’ll have learned how to leverage Snowflake’s innovative features, such as time travel, zero-copy cloning, and change-data-capture, to create cost-effective, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples.

What you will learn

  • Discover the time-saving benefits and applications of data modeling
  • Learn about Snowflake’s cloud-native architecture and its features
  • Understand and apply modeling techniques using Snowflake objects
  • Universal modeling concepts and language through Snowflake objects
  • Get comfortable reading and transforming semistructured data
  • Learn directly with pre-built recipes and examples
  • Learn to apply modeling frameworks from Star to Data Vault

Who this book is for

This book is for developers working with SQL who are looking to build a strong foundation in modeling best practices and gain an understanding of where they can be effectively applied to save time and effort. Whether you’re an ace in SQL logic or starting out in database design, this book will equip you with the practical foundations of data modeling to guide you on your data journey with Snowflake. Developers who’ve recently discovered Snowflake will be able to uncover its core features and learn to incorporate them into universal modeling frameworks.

Table of Contents

  1. Unlocking the Power of Modeling
  2. An Introduction to the Four Modeling Types
  3. Mastering Snowflake's Architecture
  4. Mastering Snowflake Objects
  5. Speaking Modeling through Snowflake Objects
  6. Seeing Snowflake's Architecture through Modeling Notation
  7. Putting Conceptual Modeling into Practice
  8. Putting Logical Modeling into Practice
  9. Database Normalization
  10. Database Naming and Structure
  11. Putting Physical Modeling into Practice
  12. Putting Transformational Modeling into Practice
  13. Modeling Slowly Changing Dimensions
  14. Modeling Facts for Rapid Analysis
  15. Modeling Semi-Structured Data
  16. Modeling Hierarchies
  17. Scaling Data Models through Modern Techniques
  18. Appendix

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Expert Insight

Expert Insight

This book gives readers the “aha” moment of understanding the practical value of data modeling, which is embraced by both business and data teams. Readers will learn fundamental technical concepts and semantics and how to implement them using native Snowflake features for performance and cost efficiency. Discover the key to scalable data architecture that improves data quality, drives down maintenance costs, and restores trust in the data team!

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Author Speak

“Not only does this book cover the how of data modeling from concept to code, but it also covers the why. If you aspire to build cost-efficient data solutions that scale and stand the test of time, data modeling will get you there.”

Why read this book

Why Read This Book

Many books have been written on data modeling, but few go beyond mere theory. This book provides readers with a comprehensive package: it not only explains what data modeling entails but also highlights its business value and offers practical examples that can be used to address real-world challenges.

What kind of hands-on projects are in this book

Snowflake

Use native Snowflake features like streams to create an easy type-2 dimension

Flatten Data

Learn to laterally flatten semi-structured data

Fact Table

Create the world's most versatile fact table

Editorial Reviews

Review

“This book does an excellent job of combining the time-tested techniques of relational database modeling with the revolutionary features and facets of Snowflake's scalable data platform. It is appropriate for those new to the concept of data modeling as well as veteran data modelers who are beginning to work with modern cloud databases.

Serge does an exceptional job of taking you from the history of data modeling, and its various forms and notations, to exploring the core features of Snowflake architecture to construct performant and cost-effective solutions. This is a must-read for anyone designing databases in The Data Cloud.”

--

Kent Graziano, Owner/Chief Strategic Advisor at Data Warrior, Data Vault Master, Author, Speaker

About the Author

Serge Gershkovich is a seasoned data architect with decades of experience designing and maintaining enterprise-scale data warehouse platforms and reporting solutions. He is a leading subject matter expert, speaker, content creator, and Snowflake Data Superhero. Serge earned a bachelor of science degree in information systems from the State University of New York (SUNY) Stony Brook. Throughout his career, Serge has worked in model-driven development from SAP BW/HANA to dashboard design to cost-effective cloud analytics with Snowflake. He currently serves as product success lead at SqlDBM, an online database modeling tool.

Product details

  • Publisher ‏ : ‎ Packt Publishing
  • Publication date ‏ : ‎ May 31, 2023
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 324 pages
  • ISBN-10 ‏ : ‎ 1837634459
  • ISBN-13 ‏ : ‎ 978-1837634453
  • Item Weight ‏ : ‎ 1.23 pounds
  • Dimensions ‏ : ‎ 7.5 x 0.73 x 9.25 inches
  • Best Sellers Rank: #1,257,325 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.4 out of 5 stars (73)

About the author

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Serge Gershkovich
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Serge Gershkovich is a data architect with an extensive background in designing and maintaining enterprise-scale data warehouse platforms and reporting solutions.

After a decade of working with the SAP ecosystem, Serge discovered Snowflake and never looked back. His passion for the Data Cloud has led to his creating educational content and being named a Snowflake Data Superhero. Serge is currently engaged as a Product Success Lead at SqlDBM, an online database modeling tool.

Serge holds a B.Sc. degree in Information Systems from SUNY Stony Brook. Originally from Ukraine, he was raised in New York and has lived in London and Madrid.

He currently resides in Palma de Mallorca with his wife and son.