Deputy to Birst Integration
AI-first ETL from Deputy into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Deputy into Birst
Datrise syncs Deputy's employees, shifts, timesheets, locations, leave requests, and pay rates into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Deputy: Workforce scheduling and timesheet management.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Deputy entities map to Birst
| Deputy entity | Birst object | Notes |
|---|---|---|
| employees | deputy_employees | id PK · custom fields → flattened columns |
| shifts | deputy_shifts | id PK · linked to deputy_employees |
| timesheets | deputy_timesheets | id PK · linked to deputy_employees |
| locations | deputy_locations | id PK · linked to deputy_employees |
FAQ
How does Datrise handle Deputy's custom fields in Birst?
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 Birst types.
How does the Deputy to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
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