Foundations
CMD+RVL works alongside modern data infrastructure you already recognize, adding metadata, context, lineage, and admissibility so monitored outcomes and provenance records remain reproducible as data, assumptions, and outputs change over time.
A familiar stack, extended to support defensible decisions
CMD+RVL is intentionally built with standard data infrastructure patterns. The difference is the metadata and lineage context carried past ingestion and warehousing — connecting raw sources to derived fields, analytical views, provenance records, and monitored outcomes without replacing the systems already in place.
Metadata as the control plane for trust
CMD+RVL treats metadata as a first-class architecture concern, not an afterthought. Operational metadata, semantic context, and outcomes are connected so teams can reason about provenance, trust, freshness, and impact without manual backtracking.
Catalog-driven visibility.
CMD+RVL maintains its own data catalog, built as a fork of Amundsen. The catalog tracks ingestors, ownership, schema changes, alerts, and operational metadata, with APIs for programmatic read and write access.Extended lineage and assurance metadata.
The metadata model is extended beyond tables and columns to capture lineage, coverage, freshness, latency, schema history, and methodology notes plus provenance record references — carried through to derived views and outcomes rather than stopping at the warehouse.Built to integrate, designed to last
Because CMD+RVL is grounded in standard data stack patterns, it can work alongside existing research and production environments. The differentiation is how context, timing, lineage, and provenance are preserved all the way to decision-facing outputs and provenance records.