From scattered sources to trusted data
A recoverable architecture to extract, validate, transform, enrich, and serve data without turning every failure into silent loss.
- ETL
- events
- Kafka
- PostgreSQL
- Redis
Products we own and you can inspect. Below, prior professional experience and reference architectures are separated so provenance remains unambiguous.
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These cases separate prior professional experience from reference architectures. They are not presented as Codiva clients or commercial outcomes without evidence.
A recoverable architecture to extract, validate, transform, enrich, and serve data without turning every failure into silent loss.
How to move clinical data from internal models to validatable resources with explicit identity, terminology, errors, and auditability.