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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

Logical

Once the building blocks of the business model have been identified through conceptual modeling (entities, attributes, and relationships), logical modeling begins. However, there is no strict distinction between the elements used in logical and conceptual designs. In fact, many database design textbooks do not differentiate between the two, combining them into a single style and tackling them in a single step.

This book takes a different approach—distinguishing between conceptual and logical modeling, not due to the elements or their notation but due to the natural flow of the design process. Because database textbooks are geared towards a technical audience, many lose sight of the less technical participants of database modeling: the business users.

Although a logical model can express everything that a conceptual one can, it also includes a great deal of technical detail, which may alienate those team members who lack the foundation to make sense of it. In the...

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Data Modeling with Snowflake
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