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Unlocking dbt = design and deploy tr...

Dorsey, Dustin.

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Unlocking dbt = design and deploy transformations in your cloud data warehouse /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Unlocking dbt/ by Dustin Dorsey, Cameron Cyr.
其他題名:	design and deploy transformations in your cloud data warehouse /
作者:	Dorsey, Dustin.
其他作者:	Cyr, Cameron.
出版者:	Berkeley, CA :Apress : : 2025.,
面頁冊數:	xxiv, 474 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Database management. -
電子資源:	https://doi.org/10.1007/979-8-8688-1844-8
ISBN:	9798868818448

Unlocking dbt = design and deploy transformations in your cloud data warehouse /
Dorsey, Dustin.

Unlocking dbtdesign and deploy transformations in your cloud data warehouse /[electronic resource] :by Dustin Dorsey, Cameron Cyr. - Second edition. - Berkeley, CA :Apress :2025. - xxiv, 474 p. :ill., digital ;24 cm.

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 stack Set up projects using both the cloud-hosted dbt Platform and open source project Connect dbt projects to cloud data warehouses Build scalable models in SQL and Python Configure development, testing, and production environments Capture reusable logic with Jinja macros Incorporate version control with your data transformation code Seamlessly connect your projects using dbt Mesh Build and manage a semantic layer using dbt Deploy 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.

ISBN: 9798868818448

Standard No.: 10.1007/979-8-8688-1844-8doiSubjects--Topical Terms:

527442
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

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