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You're reading from  Data Engineering with dbt

Product typeBook
Published inJun 2023
PublisherPackt
ISBN-139781803246284
Edition1st Edition
Concepts
Data Streaming
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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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Technical requirements

This chapter builds on the concepts from the previous chapters, including the basic dbt functions, the description of our target architecture, and the sample project.

All the code samples for this chapter are available on GitHub at

https://github.com/PacktPublishing/Data-engineering-with-dbt/tree/main/Chapter_13.

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Data Engineering with dbt
Published in: Jun 2023Publisher: PacktISBN-13: 9781803246284
© 2023 Packt Publishing Limited All Rights Reserved

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

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