You're reading from Data Engineering with dbt

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Published inJun 2023

PublisherPackt

ISBN-139781803246284

Edition1st Edition

Concepts

Data Streaming

Author (1)

Roberto Zagni

Part 3: Hands-On Best Practices for Simple, Future-Proof Data Platforms

In this section, we will put to use the software engineering and dbt skills learned in the first two parts when looking at the full scale of a data platform. We will discuss realistic use cases and practice on sample data. We will analyze different data warehousing architectures and delve deeper into two of the key aspects of managing information: managing identities and dealing with the history of changes.

We’ll close by looking into patterns for special use cases and suggestions to publish dependable datasets.

This section includes the following chapters:

Chapter 12, Deployment, Execution, and Documentation Automation
Chapter 13, Moving beyond Basics
Chapter 14, Enhancing Software Quality
Chapter 15, Patterns for Frequent Use Cases

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Data Engineering with dbt

Published in: Jun 2023Publisher: PacktISBN-13: 9781803246284

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Author (1)

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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