dbt core

Are you a dbt Core user who's struggling to find a good way to host and share your dbc docs? Well, this post if for you. Follow these step-by-step instructions to share your dbt documentation via GitHub, Netlify, or AWS—whichever fits better into your workflow.

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.

Track your dbt job performance with our new interactive timeline view.

Metaplane's custom dbt alerting system adds rich context and configurable routing to dbt Cloud notifications, making test failures more actionable while bridging technical and business team needs.

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's latest release for our dbt core integration allows users to avoid unintentional mistakes caused by updates to your models.

Unlock real-time monitoring for dbt jobs and model-to-model lineage with Metaplane, now available for all dbt Core users.