DatriseAI-first ETL

JobAdder to Azure Synapse Integration

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

How Datrise loads JobAdder into Azure Synapse

Datrise syncs JobAdder's candidates, jobs, applications, placements, companies, and interview notes into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How JobAdder entities map to Azure Synapse

JobAdder entityAzure Synapse objectNotes
candidatesjobadder_candidatesid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the JobAdder to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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