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You're reading from  Data Engineering with dbt

Product typeBook
Published inJun 2023
PublisherPackt
ISBN-139781803246284
Edition1st Edition
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Author (1)
Roberto Zagni
Roberto Zagni
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Roberto Zagni

Roberto Zagni is a senior leader with extensive hands-on experience in data architecture, software development and agile methodologies. Roberto is an Electronic Engineer by training with a special interest in bringing software engineering best practices to cloud data platforms and growing great teams that enjoy what they do. He has been helping companies to better use their data, and now to transition to cloud based Data Automation with an agile mindset and proper SW engineering tools and processes, aka DataOps. Roberto also coaches data teams hands-on about practical data architecture and the use of patterns, testing, version control and agile collaboration. Since 2019 his go to tools are dbt, dbt Cloud and Snowflake or BigQuery.
Read more about Roberto Zagni

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Advanced automation – hooks and run-operations

With environments, jobs, and configuration, you can design your architecture and deploy and run your data platform using one or more dbt projects, but other activities are needed to keep a data platform up and running beyond data transformations.

In this chapter, we will look at two advanced functionalities, hook and run-operation commands, and the use of the latter to handle the database migrations that are not handled by dbt.

Both these functionalities allow you to execute the arbitrary SQL that you need to complement dbt transformations. It could be from creating user functions to managing grants or doing database-specific operations such as cloning or vacuuming or creating shares or running any other command besides creating tables/views and transforming data.

The main difference between the two functionalities lies in when the SQL must be activated: connected to some model life cycle or independent of it.

Hooks

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Data Engineering with dbt
Published in: Jun 2023Publisher: PacktISBN-13: 9781803246284

Author (1)

author image
Roberto Zagni

Roberto Zagni is a senior leader with extensive hands-on experience in data architecture, software development and agile methodologies. Roberto is an Electronic Engineer by training with a special interest in bringing software engineering best practices to cloud data platforms and growing great teams that enjoy what they do. He has been helping companies to better use their data, and now to transition to cloud based Data Automation with an agile mindset and proper SW engineering tools and processes, aka DataOps. Roberto also coaches data teams hands-on about practical data architecture and the use of patterns, testing, version control and agile collaboration. Since 2019 his go to tools are dbt, dbt Cloud and Snowflake or BigQuery.
Read more about Roberto Zagni