DatriseAI-first ETL

PCRecruiter Azure Synapse

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

How Datrise loads PCRecruiter into Azure Synapse

Datrise syncs PCRecruiter's contacts, accounts, deals, activities, and lifecycle events 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

PCRecruiter: Recruiting CRM/ATS for candidates, pipelines, and placements.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How PCRecruiter entities map to Azure Synapse

PCRecruiter entityAzure Synapse objectNotes
contactspcrecruiter_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountspcrecruiter_accountsid PK · linked to pcrecruiter_contacts
dealspcrecruiter_dealsid PK · linked to pcrecruiter_contacts
activitiespcrecruiter_activitiesdatetime2 events

FAQ

How does Datrise handle PCRecruiter'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 PCRecruiter to Azure Synapse sync stay up to date?

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

Related pipelines

Early access

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