You're reading from Data Modeling with Snowflake

Product typeBook

Published inMay 2023

PublisherPackt

ISBN-139781837634453

Edition1st Edition

Concepts

Data Engineering

Author (1)

Serge Gershkovich

Deploying a physical model

At this point, all the tables, relationships, and properties have been defined and are ready to be deployed to Snowflake. If you use a modeling tool, all the DDL will be generated behind the scenes as adjustments are made to the diagram through a process called forward engineering. While it’s not strictly necessary to use a modeling tool to forward engineer, doing so will make it easier to make adjustments and generate valid, neatly formatted SQL for your data model.

For those following the exercise, the forward-engineered DDL from this exercise is available in a shared Git repository mentioned at the start of this chapter.

With the DDL in hand, pay attention to the database and schema context in the Snowflake UI. Creating a database or schema will automatically set the context for a given session. To switch to an existing database or schema, use the context menu in the UI or the USE <object> <object name> SQL expression. Here’...

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Data Modeling with Snowflake

Published in: May 2023Publisher: PacktISBN-13: 9781837634453

Author (1)

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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Deploying a physical model

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