DatriseAI-first ETL

Zenefits to Birst Integration

AI-first ETL from Zenefits into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Zenefits into Birst

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records 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

Zenefits: HR, benefits, and payroll administration.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Zenefits entities map to Birst

Zenefits entityBirst objectNotes
employeeszenefits_employeesid PK · custom fields → flattened columns
departmentszenefits_departmentsid PK · linked to zenefits_employees
employmentszenefits_employmentsid PK · linked to zenefits_employees
time off requestszenefits_time_off_requestsid PK · linked to zenefits_employees

FAQ

How does Datrise handle Zenefits'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 Zenefits to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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