Case Study: Collective Health improves partner data integration and quality with Databricks Delta Live Tables

How Collective Health uses Delta Live Tables and Structured Streaming for Data Integration

Collective Health, a technology company improving employer-led healthcare, needed a better way to share and ingest partner data at scale as schemas changed and incoming files could contain nulls or invalid records. Using Databricks, including Delta Live Tables and Structured Streaming with Auto Loader, the team built a pipeline to process scheduled partner files more reliably.

Databricks helped Collective Health validate records, track bad data, and ingest files incrementally without reprocessing everything. The result was a more flexible data integration pipeline with built-in quality checks, pipeline visibility, and quarantine handling for invalid records, improving operational efficiency and making partner data easier to manage at scale.

Collective Health