You're reading from Data Modeling with Snowflake

Product typeBook

Published inMay 2023

PublisherPackt

ISBN-139781837634453

Edition1st Edition

Concepts

Data Engineering

Author (1)

Serge Gershkovich

Part 2: Applied Modeling from Idea to Deployment

This part focuses on the practical application of data modeling techniques across different stages of the database design process. You will learn how to put conceptual modeling into practice by gaining a solid understanding of the data entities, relationships, and business rules that define the underlying data structure. You will also learn how to enrich these details and add nuance using a logical model that cannot be captured in a physical database. This part also delves into the critical concept of database normalization, essential for minimizing data redundancy and ensuring accurate and consistent data storage. After covering database naming and structure and exploring the best practices for creating intuitive, meaningful, and scalable database schemas, you will learn how to put physical modeling into practice while optimizing database performance.

This part has the following chapters:

Chapter 7, Putting Conceptual...

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Data Modeling with Snowflake

Published in: May 2023Publisher: PacktISBN-13: 9781837634453

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Author (1)

Serge Gershkovich

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.
Read more about Serge Gershkovich

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