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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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Tables

Data in Snowflake is stored in tables, which, as discussed, are one of the fundamental components of data modeling. However, before exploring them in a modeling context, we should understand the various table types that exist in Snowflake and their costs.

The previous chapter described Snowflake’s Time Travel, a feature that allows restoring dropped objects or querying data at a prior point in time. However, Time Travel comes with associated storage costs, and the number of available Time Travel days—known as the retention period—depends on the table type, as we’ll shortly review in detail.

Snowflake also offers a managed type of Time Travel, known as Fail-safe. All permanent tables have a Fail-safe period of seven days. Unlike Time Travel, which the user can access, Fail-safe is managed by and accessible only to Snowflake to protect user data from disasters such as system failures and data breaches. To recover data stored in Fail-safe, users...

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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