Secoda to Yellowfin Integration
AI-first ETL from Secoda into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Secoda into Yellowfin
Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Secoda: Data catalog, lineage, and documentation.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Secoda entities map to Yellowfin
| Secoda entity | Yellowfin object | Notes |
|---|---|---|
| tables | secoda_tables | id PK · custom fields → flattened columns |
| columns | secoda_columns | id PK · linked to secoda_tables |
| dictionaries | secoda_dictionaries | id PK · linked to secoda_tables |
| lineage edges | secoda_lineage_edges | id PK · linked to secoda_tables |
FAQ
How does Datrise handle Secoda's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Secoda to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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