DatriseAI-first ETL

BambooHR Yellowfin

AI-first ETL from BambooHR into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads BambooHR into Yellowfin

Datrise syncs BambooHR's employee records, org structure, lifecycle events, and workforce attributes into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

BambooHR: HRIS source for employee records and workforce analytics.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How BambooHR entities map to Yellowfin

BambooHR entityYellowfin objectNotes
employee recordsbamboohr_employee_recordsid PK · custom fields → flattened columns
org structurebamboohr_org_structureid PK · linked to bamboohr_employee_records
lifecycle eventsbamboohr_lifecycle_eventsdate/time dimensions events
workforce attributesbamboohr_workforce_attributesid PK · linked to bamboohr_employee_records

FAQ

How does Datrise handle BambooHR's custom fields in Yellowfin?

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 Yellowfin types.

How does the BambooHR to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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