dbt

Learn how to use dbt macros to write smarter, reusable SQL that's easy to maintain.

dbt-expectations is a dbt package that brings the power of Great Expectations-style assertions to your dbt workflows. Learn about how best to use it.

Getting too many alerts is, functionally, the same as getting no alerts. Learn how to tame your dbt alerts and make them meaningful for you and your team.

Here's everything you need to know about dbt tests, including what they are, how to write them, and best practices for implementing them in your data workflow.

Understanding the different types of dbt tests can be confusing. We break it all down in this post, telling you the different types of dbt tests, what they do, and when/how to use them.

The sooner you can resolve job failures in dbt, the better. In this article, we'll walk you step-by-step through two different ways to set up alerts in dbt, and tell you why we prefer one method to the other.

A how-to on creating our custom dbt Alerting infrastructure.

Learn why data lineage is important in dbt, and how to implement it for better data visualization, easier debugging, and more collaboration.

Full visibility throughout your dbt pipeline all in one place.

Monitor dbt jobs and models independently to dive deeper into root cause analysis and incident resolution.

Metaplane enhances data stack extensibility with new features for better integration and observability.

Discover how dbt helps data teams transform data and run quality checks to ensure accuracy, reliability, and trust in data-driven decision-making.

dbt tests catch known issues with binary criteria, while Metaplane detects unknown issues using scalar criteria across various assets.

More words of wisdom on how to build data teams starting with the first hire, keeping up with changing roles, and taking care of the people on your team.

Insights from top analytics engineers on transitioning roles, thriving in organizations, and navigating the future of data careers.