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  • Book Overview & Buying Data Modeling with Snowflake
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Data Modeling with Snowflake

Data Modeling with Snowflake

By : Serge Gershkovich
4.6 (19)
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Data Modeling with Snowflake

Data Modeling with Snowflake

4.6 (19)
By: Serge Gershkovich

Overview of this book

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.
Table of Contents (24 chapters)
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1
Part 1: Core Concepts in Data Modeling and Snowflake Architecture
8
Part 2: Applied Modeling from Idea to Deployment
14
Part 3: Solving Real-World Problems with Transformational Modeling

Preface

Snowflake is one of the leading cloud data platforms and is gaining popularity among organizations looking to migrate their data to the cloud. With its game-changing features, Snowflake is unlocking new possibilities for self-service analytics and collaboration. However, Snowflake’s scalable consumption-based pricing model demands that users fully understand its revolutionary three-tier cloud architecture and pair it with universal modeling principles to ensure they are unlocking value and not letting money vaporize into the cloud.

Data modeling is essential for building scalable and cost-effective designs in data warehousing. Effective modeling techniques not only help businesses build efficient data models but also enable them to better understand their business. Though modeling is largely database-agnostic, pairing modeling techniques with game-changing Snowflake features can help build Snowflake’s most performant and cost-effective solutions.

This book combines the best practices in data modeling with Snowflake’s powerful features to offer you the most efficient and effective approach to data modeling in Snowflake. Using these techniques, you can optimize your data warehousing processes, improve your organization’s data-driven decision-making capabilities, and save valuable time and resources.

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Data Modeling with Snowflake
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