Glossary · Data platforms and engineering

Medallion architecture

A way of organising a data platform into layers of increasing quality, commonly called bronze for raw data, silver for cleaned and conformed data, and gold for business-ready tables. Each layer has clear rules about what it contains and who uses it.

Why it matters

Layering makes data platforms easier to reason about. It preserves raw data for reprocessing, isolates cleaning logic and gives consumers a clear signal about which tables are ready for reporting or AI.

The layer names matter less than the contract behind them. Each layer needs defined quality checks, ownership and rules about which layer each consumer is allowed to read.

In practice

For example, a UK healthcare software provider might land raw appointment events in bronze, deduplicate and standardise them in silver, and publish gold tables such as clinic utilisation that its customer-facing dashboards read.

Where Rodan fits

Rodan structures lakehouse platforms into governed layers in Data and Analytics Engineering work.

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