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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.
Read more about Serge Gershkovich

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Snowflake’s three-tier architecture

Snowflake architecture consists of three layers: storage, compute, and cloud services. Snowflake manages all three layers so that interactions with the underlying cloud architecture are transparent to the users.

The following is an illustration of how Snowflake’s architecture runs on top of cloud data platforms and separates disk from virtual compute clusters while managing a separate operational services layer (so you, the user, don’t have to).

Figure 3.4 – Snowflake hybrid cloud architecture

Figure 3.4 – Snowflake hybrid cloud architecture

Now, let us get to know each of the three layers before explaining how they combine to enable Snowflake’s innovative features, such as zero-copy cloning and Time Travel.

Storage layer

The storage layer physically stores data on disks in the cloud provider hosting the Snowflake account. As data is loaded into Snowflake, it is compressed, encrypted, and logically organized into tables...

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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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