Hi everyone,

I’m working through Databricks deployment and orchestration concepts and wanted to understand how Databricks Asset Bundles and Lakeflow Jobs fit together.

Real-world scenario:
Imagine an e-commerce company has a customer data pipeline that processes new data every night. The project contains notebooks, pipeline code, and a job that needs to run on a schedule.

In this situation:

• How would Databricks Asset Bundles help manage and deploy the project resources?
• How would Lakeflow Jobs be used to schedule and run the pipeline?
• How do these two concepts work together as part of a deployment workflow?

I’m especially interested in understanding how this would be handled in a real data engineering project.

Thanks!