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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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Summary

Congratulations! In this chapter, you learned how dbt makes it very simple to add consistency to your transformations.

You can now create your own macros and, even better, use macros provided by others in packages to speed up your development and consistently implement patterns and transformations.

In the next chapter, you will learn how to make your development and transformations reliable and ensure data quality with the help of tests.

Tests are the other great improvement that dbt brought to the world of data management – making testing part of a normal, expected development cycle, as it is normal to expect modern software to be developed with a robust test suite.

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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