Announcing Bitbucket + Azure DevOps Integrations in Datafold
How Datafold is now bringing automated data tests to your dbt PRs in Bitbucket and Azure DevOps.
Datafold is excited to announce two new cod repository integrations for the Datafold Cloud experience: Bitbucket and Azure DevOps (ADO). With these new integrations, users of Bitbucket and ADO can integrate Datafold Cloud—and data diffing—directly into their CI process, giving them greater visibility into their code changes and expediting the PR (pull request) review process.
How it works
Like the GitHub and GitLab integrations in Datafold, when users open a PR for their dbt or other transformation code work, Datafold Cloud will automatically add the Datafold CI comment to the Bitbucket/ADO PR. With the Datafold CI comment, PR openers and reviewers unlock visibility into:
- A summarized view on how the data differs between the dev and prod version of the model(s) they modified
- Any potential data changes on downstream tables/models
- Any potentially changed downstream data app assets like Looker, Tableau, Hightouch, or Mode
If further investigation into the data changes are necessary, users can simply click into the Datafold Cloud link provided in the comment to take them to the Datafold Cloud app, where they can easily filter on specific primary keys, analyze the data profiles between dev and prod, and share diff results with other team members.
When data teams integrate data diffing directly in their CI process, we’ve seen how teams gain newfound confidence in their data work, find unforeseen data quality issues faster, and prevent bad data from ever entering their production pipelines.
To see these integrations in action, check out this sample PR in Azure DevOps!
If you’re a Bitbucket or Azure DevOps team who has been wanting to add greater governance and testing to your dbt deployment process, Datafold Cloud now seamlessly integrates with your git repository.
Getting started
To learn more about Datafold and these new integrations, check out the following resources:
- Join us on January 25th for a live demo of Datafold Cloud, so you can see all the new features (like these integrations) and more of the Datafold Cloud experience.
- Ready to start implementing CI in your workflow? Reach out to our team of data engineering experts to learn how Datafold can integrate with your stack and help give you data quality peace of mind ✌️.
Happy diffing!