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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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Saving cash by using cache

With on-premises databases, inefficient operations resulted in longer execution times. In Snowflake’s variable spend model, that extra time is coupled with monetary penalties. Besides writing efficient SQL, Snowflake users should also understand the various caches associated with the service and virtual compute layers to understand where they can take advantage of pre-calculated results. A firm grasp of Snowflake caching will also inform decisions when modeling and building data pipelines.

Let us start with the services layer and familiarize ourselves with the caches it manages and offers its users.

Services layer

The services layer handles two types of cache: metadata and query results cache.

Metadata cache

The services layer manages object metadata, such as structure, row counts, and distinct values by column. Reviewing this metadata through related SQL functions or the Snowflake UI will not require a running warehouse and does not...

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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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