Unlocking dbt: Design and Deploy Transformations in Your Cloud Data Warehouse

Unlocking dbt is a book that explains how dbt is used to build data transformation pipelines that enable dependency management and allow for version control and automated testing. It also shows how dbt is revolutionizing data transformation and the advantages that a command-line tool like dbt provides over other ETL and ELT tools.

Format: Paperback / softback
Length: 356 pages
Publication date: 26 September 2023
Publisher: APress

This comprehensive book delves into the world of dbt, a powerful tool for building data transformation pipelines. It showcases how dbt is utilized to establish data transformation workflows that facilitate dependency management, enable version control, and facilitate automated testing. By leveraging dbt, data transformation processes are revolutionized, offering advantages over traditional database stored procedures and other ETL and ELT tools.

The book explains how to create custom-written transformations using simple SQL SELECT statements, eliminating the need for boilerplate code and making it effortless to integrate dbt as the transformation layer into data warehouse pipelines. Furthermore, it emphasizes how dbt empowers data teams to incorporate software engineering best practices, such as code reusability, version control, and automated testing, into the data transformation process.

Unlocking dbt takes readers on a journey of using dbt to establish a project, build and modularize SQL models, and execute jobs in a manner that promotes ease of maintenance and scalability as the data ecosystem evolves. The book begins by guiding readers through the process of setting up and configuring a project using both dbt Cloud and dbt Core, ensuring a solid foundation for deploying dbt projects on either platform.

From there, the book delves into the core aspects of dbt, including building transformations with confidence in their scalability. It explores advanced topics such as advanced materializations, building lineage in data flows, harnessing the power of macros, and much more. Additionally, the book covers supported file types and the construction of Python models, expanding the capabilities of dbt even further.

By leveraging the power of dbt, data professionals can streamline their data transformation processes, improve data quality, and enhance collaboration within their teams. This book serves as a valuable resource for anyone looking to leverage dbt to optimize their data infrastructure and unlock the full potential of their data.

Weight: 714g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484296998
Edition number: 1st ed.