Google HCLS Data Harmonization
A mapping language and engine for converting complex, nested data between schemas, with extensibility via plugins.
What is Google HCLS Data Harmonization?
Whistle is a data transformation engine and mapping language that converts complex, nested data from one structure to another based on configuration files. It solves the problem of data schema conversion, particularly in healthcare for harmonizing data like FHIR, but is applicable to any domain requiring structured data mapping.
Developers and data engineers working on data integration, ETL pipelines, or healthcare data interoperability projects, especially those needing to map between different data schemas like HL7v2 to FHIR.
Developers choose Whistle for its concise, efficient mapping syntax, extensible plugin architecture, and robust tooling like LSP support and unit testing capabilities, making complex data transformations more maintainable and scalable.
Overview
This is an engine that converts data of one structure to another, based on a configuration file which describes how. There is an accompanying syntax to make writing mappings easier and more robust.
Use Cases
Best For
- Converting healthcare data between different standards like HL7v2 to FHIR
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