Dustin Dorsey, Cameron Cyr

Unlocking dbt

Design and Deploy Transformations in Your Cloud Data Warehouse

• Broschiertes Buch

Produktbeschreibung

Master the art of data transformation with the second edition of this trusted guide to dbt.

Building on the foundation of the first edition, this updated volume offers a deeper, more comprehensive exploration of dbt s capabilities whether you're new to the tool or looking to sharpen your skills. It dives into the latest features and techniques, equipping you with the tools to create scalable, maintainable, and production-ready data transformation pipelines.

Unlocking dbt, Second Edition introduces key advancements, including the semantic layer, which allows you to define and manage metrics at scale, and dbt Mesh, empowering organizations to orchestrate decentralized data workflows with confidence. You ll also explore more advanced testing capabilities, expanded CI/CD and deployment strategies, and enhancements in documentation such as the newly introduced dbt Catalog.

As in the first edition, you ll learn how to harness dbt s power to transform raw data into actionable insights, while incorporating software engineering best practices like code reusability, version control, and automated testing. From configuring projects with the dbt Platform or open source dbt to mastering advanced transformations using SQL and Jinja, this book provides everything you need to tackle real-world challenges effectively.

What You Will Learn
Understand dbt and its role in the modern data stackSet up projects using both the cloud-hosted dbt Platform and open source projectConnect dbt projects to cloud data warehousesBuild scalable models in SQL and PythonConfigure development, testing, and production environmentsCapture reusable logic with Jinja macrosIncorporate version control with your data transformation codeSeamlessly connect your projects using dbt MeshBuild and manage a semantic layer using dbtDeploy dbt using CI/CD best practices
Who This Book Is For

Current and aspiring data professionals, including architects, developers, analysts, engineers, data scientists, and consultants who are beginning the journey of using dbt as part of their data pipeline s transformation layer. Readers should have a foundational knowledge of writing basic SQL statements, development best practices, and working with data in an analytical context such as a data warehouse.

Produktdetails

• Verlag: Apress / Springer, Berlin
• Artikelnr. des Verlages: 89550173, 979-8-8688-1843-1
• 2. Aufl.
• Seitenzahl: 500
• Erscheinungstermin: 2. Oktober 2025
• Englisch
• Abmessung: 254mm x 178mm x 27mm
• Gewicht: 931g
• ISBN-13: 9798868818431
• Artikelnr.: 74826233

Autorenporträt

Dustin Dorsey is a data leader and architect who has been building and managing data solutions for more than 16 years. He is currently a leader in the data consulting space and works with companies of all sizes to modernize and scale their data analytics environments. A respected voice in the data community, Dustin is an international speaker and mentor. He has also organized several data community events and user groups in his local community of Nashville, Tennessee. Dustin is a co-author of the popular Apress books Pro Database Migration to Azure and Unlocking dbt. Cameron Cyr is a data fanatic who has spent his career developing data systems that enable valuable use cases such as analytics and machine learning. He specializes in building reliable, scalable architectures with a strong emphasis on data quality. As a data consultant, Cameron provides engineering, architecture, and analytics services. He is also a co-author of Unlocking dbt.

Inhaltsangabe

Chapter 1: Introduction to dbt.- Chapter 2: Data Modeling.- Chapter 3: Setting Up a dbt Project.- Chapter 4: Sources and Seeds.- Chapter 5: Models.- Chapter 6: Snapshots.- Chapter 7: Jinja, Macros, and Packages.- Chapter 8: Hooks.- Chapter 9: Tests.- Chapter 10: Documentation.- Chapter 11: dbt in Production.- Chapter 12: dbt Mesh.- Chapter 13: Semantic Layer.