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Dataform Modeling Lab.
A production-tested framework of helpers for Google Dataform that turns long, repetitive model definitions into concise configuration. It standardizes how BigQuery pipelines are built, so teams ship models faster with governance and cost control built in.
- Less boilerplate: a factory pattern replaces 150-line model definitions with around 20 lines of configuration.
- Incremental by default: partition-aware MERGE operations with smart first-run detection that uses snapshot mode to cut cost, about 38% in testing.
- Schema evolution: dynamic schema migration with automatic column detection and conflict resolution.
- Quality and governance: a view-based assertion system for data-quality and business rules, scanning only the relevant partitions to keep checks cheap, plus BigQuery labels for cost tracking.
JavaScript on BigQuery and Dataform, MIT licensed.