DatriseAI-first ETL

Zendesk Support to Azure Synapse Integration

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

How Datrise loads Zendesk Support into Azure Synapse

Datrise syncs Zendesk Support's tickets, users, organizations, macros, satisfaction ratings, and ticket comments 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 Support: Customer support ticketing and agent workflows.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Zendesk Support entities map to Azure Synapse

Zendesk Support entityAzure Synapse objectNotes
ticketszendesk_support_ticketsid PK · custom fields → NVARCHAR(MAX) JSON columns
userszendesk_support_usersid PK · linked to zendesk_support_tickets
organizationszendesk_support_organizationsid PK · linked to zendesk_support_tickets
macroszendesk_support_macrosid PK · linked to zendesk_support_tickets

FAQ

How does Datrise handle Zendesk Support'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 Support 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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