Learn how to trigger a dbt job run when a Git pull request merges.| docs.getdbt.com
How to use dbt commands to set tasks for your dbt Cloud jobs.| docs.getdbt.com
You can set up continuous integration (CI) checks to test every single change prior to deploying the code to production just like in a software development workflow.| docs.getdbt.com
Learn how to create and schedule deploy jobs in dbt Cloud for the scheduler to run. When you run with dbt Cloud, you get built-in observability, logging, and alerting.| docs.getdbt.com
Explore dbt Cloud pricing plans. Find the best solution for your data transformation needs with transparent pricing.| dbt Labs
The dbt Cloud job scheduler queues scheduled or API-triggered runs, before preparing the job to enter cloud data platform. Build observability into transformation workflows with the in-app scheduling, logging, and alerting.| docs.getdbt.com
Learn how to create and set up CI checks to test code changes before deploying to production.| docs.getdbt.com
Get real-time notifications about your dbt jobs with webhooks.| 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