DatriseAI-first ETL

BambooHR Databricks SQL Warehouse

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

How Datrise loads BambooHR into Databricks SQL Warehouse

Datrise syncs BambooHR's employee records, org structure, lifecycle events, and workforce attributes into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

BambooHR: HRIS source for employee records and workforce analytics.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How BambooHR entities map to Databricks SQL Warehouse

BambooHR entityDatabricks SQL Warehouse objectNotes
employee recordsbamboohr_employee_recordsid PK · custom fields → VARIANT or STRUCT columns
org structurebamboohr_org_structureid PK · linked to bamboohr_employee_records
lifecycle eventsbamboohr_lifecycle_eventsTIMESTAMP events
workforce attributesbamboohr_workforce_attributesid PK · linked to bamboohr_employee_records

FAQ

How does Datrise handle BambooHR's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the BambooHR to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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