DatriseAI-first ETL

Allbound to Azure Synapse Integration

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

How Datrise loads Allbound into Azure Synapse

Datrise syncs Allbound's partners, deal registrations, leads, content assets, learning tracks, and partner users 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

Allbound: Partner portal for enablement, content, and deal registration.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Allbound entities map to Azure Synapse

Allbound entityAzure Synapse objectNotes
partnersallbound_partnersid PK · custom fields → NVARCHAR(MAX) JSON columns
deal registrationsallbound_deal_registrationsid PK · linked to allbound_partners
leadsallbound_leadsid PK · linked to allbound_partners
content assetsallbound_content_assetsid PK · linked to allbound_partners

FAQ

How does Datrise handle Allbound'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 Allbound 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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