Secoda to GoodData Integration
AI-first ETL from Secoda into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Secoda into GoodData
Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Secoda: Data catalog, lineage, and documentation.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Secoda entities map to GoodData
| Secoda entity | GoodData 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 GoodData?
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 GoodData types.
How does the Secoda to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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