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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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Stages

Before data can make its way into tables, it must be loaded into Snowflake using a stage. Stages are logical objects that abstract cloud filesystems so they can be used in a standard manner to load data into Snowflake. There are two types of stages that can be defined: external and internal. External stages can be created on top of a cloud location (for the supported cloud storage services) outside Snowflake and are used to load data from external source systems. Internal stages are created within the Snowflake account and therefore use the storage type of the hosting provider. Internal stages are used to stage files that originate from within the Snowflake account and can not be used to load external data.

Supported cloud storage services for external stages are as follows:

  • Amazon S3 buckets
  • Google Cloud Storage buckets
  • Microsoft Azure containers

The following figure shows the layout of external stages in relation to internal stage types.

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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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