In this video, I’ll show you how to ingest data from multiple SharePoint folders into the Databricks Unity Catalog as streaming tables using Declarative Automation Bundles (DAB) in Azure Databricks.
You'll learn how to define an end-to-end ingestion workflow as code, manage Databricks resources through a fully declarative approach, and deploy solutions in a repeatable, scalable, and production-ready manner. 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
Watch on YouTube: https://lnkd.in/ewXH4YsY
Like, Share, Comment and Follow for more
#AzureDatabricks #Databricks #UnityCatalog #DataEngineering #StreamingTables #SharePoint #DataIngestion #DeclarativeAutomationBundles #DAB #InfrastructureAsCode #LakehouseArchitecture #SchemaEvolution #ETL #ELT #BigData #MicrosoftAzure #DataPipeline #DeltaLake #CloudDataEngineering #DataAnalytics #DatabricksMVP
