JSON File to Tableau Integration
AI-first ETL from JSON File into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads JSON File into Tableau
Datrise syncs JSON File's documents, nested objects, arrays, keys, file batches, and schemas 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
JSON File: Structured JSON documents from exports and drops.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How JSON File entities map to Tableau
| JSON File entity | Tableau object | Notes |
|---|---|---|
| documents | json_file_documents | id PK · custom fields → flattened columns for Tableau fields |
| nested objects | json_file_nested_objects | id PK · linked to json_file_documents |
| arrays | json_file_arrays | id PK · linked to json_file_documents |
| keys | json_file_keys | id PK · linked to json_file_documents |
FAQ
How does Datrise handle JSON File'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 JSON File 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 JSON File
Early access
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