How to build a scalable linear regression model by combining dbt's modular orchestration with BigFrames' in-database Python execution in BigQuery.| docs.getdbt.com
How the new dbt VS Code extension finally delivers the dev experience we've always wanted.| docs.getdbt.com
The new engine makes it possible to decouple source code from functionality, introducing new ways to distribute functionality to the Community.| dbt Developer Hub Blog
The dbt Fusion engine delivers a next-gen developer experience by combining high-speed execution with deep understanding of your code.| docs.getdbt.com
How to extend dbt quality testing to monitor AI Agentic Quality| docs.getdbt.com
How to configure dbt Cloud with common git strategies| docs.getdbt.com
When I think back to my renovation, I realize how much smoother it would've been if I’d had a control plane for the entire process.| docs.getdbt.com
Testing your data should drive action, not accumulate alerts. We take our testing framework developed in our last post and make recommendations for where tests ought to go at each transformation stage.| docs.getdbt.com
Testing your data should drive action, not accumulate alerts. We synthesized countless customer experiences to build a repeatable testing framework.| docs.getdbt.com
A deep-dive into the Hybrid Mesh pattern for enabling collaboration between domain teams using dbt Core and dbt Cloud.| dbt Developer Hub Blog
The dbt_project_evaluator is a dbt package created by the Professional Services team at dbt Labs to help analytics engineers automatically audit their dbt projects for bad practices. Goodbye auditing nightmares, hello beautiful DAG.| docs.getdbt.com
Monitoring large, complex projects can be difficult. When you're running 1,000+ models in a day, how do you know which of those consistently take the longest to run? In this article, Bennie Regenold and Barr Yaron show the benefits of the Model Timing tab in dbt Cloud.| docs.getdbt.com