Sync Pipeline
How data moves from extraction through diffing, transforms, and load.
Sync Pipeline Overview
How data moves through VersionForge's six-stage sync pipeline from extraction to load.
Change Detection
How VersionForge's canonical row hashing detects adds, updates, and deletes at the row level.
Field Mapping & Transforms
ImplementerHow to map source fields to target dimensions and apply transform rules during sync.
Staging & Snapshots
ImplementerHow VersionForge stores and manages chunked snapshots in the staging area for diff comparison.
Scheduling & Triggers
How to schedule recurring syncs, trigger them via API, and monitor run history.
Dataset Compositions: JOIN and UNION Across Sources
Combine multiple source connections into a single dataset with JOIN or UNION — saved once and reused across sync profiles. Alias-prefixed fields, connector-agnostic, full diff and HITL coverage.
Compositions: Setup, Scale, and Review
Step-by-step build of a composition, how match keys and coercion work, scale thresholds, the fan-out halt gate, intermediate reuse, and schema-drift audit.