DatriseAI-first ETL

JobAdder to MicroStrategy Integration

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

How Datrise loads JobAdder into MicroStrategy

Datrise syncs JobAdder's candidates, jobs, applications, placements, companies, and interview notes 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

JobAdder: Recruitment platform for job ads, applications, and placements.

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

How JobAdder entities map to MicroStrategy

JobAdder entityMicroStrategy objectNotes
candidatesjobadder_candidatesid PK · custom fields → flattened columns
jobsjobadder_jobsid PK · linked to jobadder_candidates
applicationsjobadder_applicationsid PK · linked to jobadder_candidates
placementsjobadder_placementsid PK · linked to jobadder_candidates

FAQ

How does Datrise handle JobAdder'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 JobAdder 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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