Unifying Human-Curated Data Ingestion and Real-Time Updates with Databricks DLT, Protobuf and BSR
Summary
Clinician Nexus built a data pipeline using Databricks Delta Live Tables, Protocol Buffers, and Buf Schema Registry to ingest Excel files with automated schema validation and breaking-change detection. The system uses slowly-changing-dimensions tables and Kafka to provide iterative, auditable data cleaning with real-time updates to downstream applications.
Summary generated by brickster.ai from the video transcript.
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