Zendesk Talk to Azure Synapse Integration
AI-first ETL from Zendesk Talk into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zendesk Talk into Azure Synapse
Datrise syncs Zendesk Talk's calls, agents, queues, call legs, recordings, and call metrics 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 Talk: Voice support calls and queue performance.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Zendesk Talk entities map to Azure Synapse
| Zendesk Talk entity | Azure Synapse object | Notes |
|---|---|---|
| calls | zendesk_talk_calls | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| agents | zendesk_talk_agents | id PK · linked to zendesk_talk_calls |
| queues | zendesk_talk_queues | id PK · linked to zendesk_talk_calls |
| call legs | zendesk_talk_call_legs | id PK · linked to zendesk_talk_calls |
FAQ
How does Datrise handle Zendesk Talk'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 Talk to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
Connect Zendesk Talk to Azure Synapse the easy way
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