Import API to Tableau Integration
AI-first ETL from Import API into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Import API into Tableau
Datrise syncs Import API's records, payloads, batches, schemas, ingest timestamps, and source keys into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
Import API: Direct API push of custom records into a pipeline.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Import API entities map to Tableau
| Import API entity | Tableau object | Notes |
|---|---|---|
| records | import_api_records | id PK · custom fields → flattened columns for Tableau fields |
| payloads | import_api_payloads | id PK · linked to import_api_records |
| batches | import_api_batches | id PK · linked to import_api_records |
| schemas | import_api_schemas | id PK · linked to import_api_records |
FAQ
How does Datrise handle Import API's custom fields in Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the Import API to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for Import API
Early access
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