Secoda to Amazon QuickSight Integration
AI-first ETL from Secoda into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Secoda into Amazon QuickSight
Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
Secoda: Data catalog, lineage, and documentation.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Secoda entities map to Amazon QuickSight
| Secoda entity | Amazon QuickSight object | Notes |
|---|---|---|
| tables | secoda_tables | id PK · custom fields → flattened columns for analyses |
| 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 Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the Secoda to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
Connect Secoda to Amazon QuickSight the easy way
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