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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.
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Summary

This chapter discussed how to transition from logical modeling concepts to physical Snowflake objects. During this process, we learned how Snowflake handles tables of near-infinite size by breaking them down into manageable micro-partitions and how these partitions can be clustered to optimize query and DML performance.

After that, we learned how to define attributes by understanding Snowflake’s data types and their properties. Snowflake offers a variety of functions to make working with data types easier and more performant, to say nothing of the powerful options it offers for semi-structured data.

Before diving into individual constraint types, we understood what database constraints are and how Snowflake organizes and enforces them depending on the type of table where they are applied.

We saw why unique identifiers are vital for defining tables and how Snowflake manages this through the PK constraint. PKs help make life easier for database users by helping...

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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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