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You're reading from  Data Modeling with Snowflake

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837634453
Edition1st Edition
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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

In this chapter, we saw how naming standards and an organized structure make the database easier to use and facilitate maintenance. But every organization is different and must choose the standard that best suits their needs and aligns with existing conventions.

Internally, Snowflake stores object names as uppercase, and its query compiler converts all unquoted names accordingly. It is recommended to use snake case for naming and stick to an established pattern to maximize the results cache utilization and to avoid enclosing every column and table name in double quotes.

For a clean transition between logical and physical models, singular table names are encouraged. The same applies to columns, which should be named consistently across the entire database. Using descriptive naming patterns for foreign keys allows users to preserve logical relationship names within the physical model.

After object naming, the attention turns to database organization through logical schema...

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Data Modeling with Snowflake
Published in: May 2023Publisher: PacktISBN-13: 9781837634453

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