BambooHR → Sisense
AI-first ETL from BambooHR into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads BambooHR into Sisense
Datrise syncs BambooHR's employee records, org structure, lifecycle events, and workforce attributes into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
BambooHR: HRIS source for employee records and workforce analytics.
Sisense: Analytics platform with elastic data models and embedded analytics.
How BambooHR entities map to Sisense
| BambooHR entity | Sisense object | Notes |
|---|---|---|
| employee records | bamboohr_employee_records | id PK · custom fields → flattened columns for the cube |
| org structure | bamboohr_org_structure | id PK · linked to bamboohr_employee_records |
| lifecycle events | bamboohr_lifecycle_events | date/time fields events |
| workforce attributes | bamboohr_workforce_attributes | id PK · linked to bamboohr_employee_records |
FAQ
How does Datrise handle BambooHR's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the BambooHR to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
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