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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 discovered and applied more advanced patterns to improve the quality of your projects and experimented with how to evolve your code through refactoring.

You also learned how to save the history of changes of your entities, how to detect deletion from a source, how to better handle the orphans of your facts using self-completing dimensions, and how to use window functions to leverage the data stored in the HIST tables to analyze data evolution over time.

In the next chapter, Patterns for Common Use Cases, you will find a small library of common use patterns for ingesting data in Snowflake to extend the range of history tables, as well as a few more specialized patterns.

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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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