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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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The secret column type Snowflake refuses to document

Snowflake’s co-founders and chief architects, Benoit Dageville and Thierry Cruanes, spent many years working at Oracle. In fact, Oracle’s influence can be seen in many of the SQL constructs and functions that Snowflake supports. One such example is the concept of the virtual column.

Virtual columns straddle the line between physical and transformational modeling—between table and view. Virtual columns look like normal table columns, but their values are derived rather than stored on disc. They are an efficient way to embed simple business rules and transformational logic in a table without the overhead of maintaining views and incurring storage costs. Virtual columns can be defined through constants or transformational expressions such as the DEFAULT column operator. Strangely, they are not mentioned in the CREATE TABLE documentation at the time of writing (https://docs.snowflake.com/en/sql-reference/sql/create...

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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