DatriseAI-first ETL

Zendesk Sell Azure Synapse

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

How Datrise loads Zendesk Sell into Azure Synapse

Datrise syncs Zendesk Sell's leads, deals, activities, and Zendesk-aligned sales operations 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

Zendesk Sell: Sales CRM for lead and deal tracking in Zendesk ecosystems.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Zendesk Sell entities map to Azure Synapse

Zendesk Sell entityAzure Synapse objectNotes
leadszendesk_sell_leadsid PK · custom fields → NVARCHAR(MAX) JSON columns
dealszendesk_sell_dealsid PK · linked to zendesk_sell_leads
activitieszendesk_sell_activitiesdatetime2 events
Zendesk-aligned sales operationszendesk_sell_zendesk_aligned_sales_operationsid PK · linked to zendesk_sell_leads

FAQ

How does Datrise handle Zendesk Sell'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 Zendesk Sell 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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