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Native HL7v2 Parsing

1 post · Oct 2026

What this trail covers

This post introduces Funke, a new capability for native HL7v2 parsing directly within Databricks. This addresses the challenge of processing healthcare data in the HL7v2 format, enabling efficient ingestion and transformation of this critical data into a usable format within the Databricks Lakehouse for analytics and AI applications. It provides a technical solution for a common problem in healthcare data interoperability.

All Databricks trails
  1. Introducing Funke: Native HL7v2 Parsing on DatabricksThis post details the technical implementation of Funke, a new native HL7v2 parser for Databricks. It describes the ingestion pipeline that transforms raw HL7v2 messages into structured data, including the parsing logic, data transformation steps, and the output to a gold table. The post highlights the architectural choices and technical details of how Funke handles the complexities of the HL7v2 standard within the Databricks environment.