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Skills, semantic layers, and ontologies make analytics agents work, until they hit the messy data underneath. The durable fix is structural, not more context.
Data-engineering
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How Nextory built an AI-ready data foundation by starting with definitions, not models. Six voices on the work that comes before AI work.- Published on
Subtraction at the operational layer, deepening at the modeling layer. The local Postgres sidecar is gone, deploy and execute are ~2× faster, --full-refresh now works at workflow, entity, or attribute scope, and many-to-many relationships are correct and tested across PostgreSQL and BigQuery.- Published on
A practitioner methodology for going from "we need analytics" to a working prototype in hours. Five steps, three groups, one information model. Refined across insurance, automotive, telecom, streaming, and market research.- Published on
Why we built Daana CLI to reclaim lost data modeling knowledge and make proven architectural patterns accessible through modern declarative tooling.