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Databricks Asset Bundles

ilir_nuredini
Honored Contributor

Why Should You Use Databricks Asset Bundles (DABs)?

Without proper tooling, Data Engineering and Machine Learning projects can quickly become messy.
That is why we recommend leveraging DABs to solve these common challenges:

1. Collaboration:
Without structure, teams can step on each otherโ€™s work, overwrite notebooks, or lose context.
Databricks Asset Bundles help by defining a consistent project layout, with everything tracked in version control.

2. Inconsistent Setups:
Different teams or environments may deploy jobs in different ways, leading to unpredictable behavior.
With Bundles, you can create reusable templates that enforce structure, permissions, naming conventions, and CI/CD logic.

3. Compliance Made Easy
In regulated industries, it is essential to track how data pipelines are defined, who made changes, and when.
DABs support this by treating infrastructure as code, making your workflows fully traceable and auditable.

4. Fast and Reliable Deployments
Manual deployments are slow and error-prone.
DABs integrate with CI/CD tools like GitHub Actions and Azure DevOps, enabling automated and consistent deployment of jobs and pipelines.

 

With Databricks Asset Bundles, your data and ML projects become more scalable, secure, and production-ready!

 

Useful links: 

https://docs.databricks.com/aws/en/dev-tools/bundles/

https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/examples

dabs.jpg

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