DatriseAI-first ETL

Recruitee MicroStrategy

AI-first ETL from Recruitee into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Recruitee into MicroStrategy

Datrise syncs Recruitee's records, events, and configuration objects into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Recruitee: SaaS or API data source for analytics and warehouse sync.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Recruitee entities map to MicroStrategy

Recruitee entityMicroStrategy objectNotes
recordsrecruitee_recordsid PK · custom fields → flattened columns
eventsrecruitee_eventsdate/time dimensions events
configuration objectsrecruitee_configuration_objectsid PK · linked to recruitee_records

FAQ

How does Datrise handle Recruitee's custom fields in MicroStrategy?

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 MicroStrategy types.

How does the Recruitee to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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