Today, we’re showing how data engineers can leverage Lakeflow, Databricks’ unified data engineering solution, and Databricks Document Intelligence to unlock that data and turn it into business-impacting intelligence by building production-grade autonomous IDP in their Databricks Platform.

Enterprise documents live in siloed graveyards, accessible only through fragile, custom-coded API integrations that break the moment a folder is renamed. Lakeflow Connect, Databricks' solution for ingesting data into the lakehouse, changes the game with built-in connectors for many popular enterprise applications, databases, and file sources including SharePoint and Google Drive.

This solution offers zero-maintenance ingestion by removing the need to manage complex OAuth flows or custom Python scripts. Documents land directly in Unity Catalog Volumes and tables, so access control, lineage, and auditing apply as soon as the file is in the lakehouse, and you can reuse the same fine‑grained, attribute‑based policies you already rely on for structured data.

You also get fast and efficient ingestion at scale thanks to Lakeflow Connect’s robust capabilities, including incremental reads and writes which avoids full re‑pulls of large libraries for both batch backfills and near‑real‑time document flows when combined with streaming downstream.