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You're reading from  Data Modeling with Snowflake

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837634453
Edition1st Edition
Concepts
Data Engineering
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Author (1)
Serge Gershkovich
Serge Gershkovich
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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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Expanding from logical to physical modeling

At this stage in the modeling journey—preparing to transform a logical model into a physical one—the use of a modeling tool will make a marked difference in the effort required to generate the final DDL. While this exercise can be done using anything from a sheet of paper to Excel, using a data modeling tool to accelerate the process is encouraged. (See the Technical requirements section of Chapter 1, Unlocking the Power of Modeling for a link to a free trial of SqlDBM—the only cloud-based tool that supports Snowflake and offers a free tier.)

Picking up from the finished logical model from Chapter 8, Putting Logical Modeling into Practice, let’s begin the physical transformation.

Physicalizing the logical objects

Logical models contain all the information needed to transform them into a physical design, but they are not one-to-one equivalent regarding the number of elements. Besides the direct translations...

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Data Modeling with Snowflake
Published in: May 2023Publisher: PacktISBN-13: 9781837634453
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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