In this video, I’ll show you how to stream data from multiple SharePoint folders into Databricks Unity Catalog tables using Declarative Automation Bundles (DAB) in Azure Databricks.

You'll learn to define an end-to-end ingestion workflow as code, manage Databricks resources declaratively, and deploy solutions in a repeatable, scalable, production-ready way. We’ll also explore how to handle schema evolution seamlessly, enabling your data pipelines to adapt to changing source structures without disrupting downstream processes.

Whether you're a Data Engineer, Azure professional, or Databricks practitioner, this tutorial will help you apply Infrastructure as Code (IaC) principles to modern data ingestion and lakehouse architectures.

✅ Ingest data from multiple SharePoint folders

✅ Create streaming tables in Unity Catalog

✅ Implement Declarative Automation Bundles (DAB)

✅ Manage Databricks resources as code

✅ Enable schema evolution for changing data structures

✅ Build scalable and repeatable ingestion pipelines

✅ Deploy and orchestrate solutions in Azure Databricks