Zendesk Talk to Google BigQuery Integration
AI-first ETL from Zendesk Talk into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zendesk Talk into Google BigQuery
Datrise syncs Zendesk Talk's calls, agents, queues, call legs, recordings, and call metrics into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Zendesk Talk: Voice support calls and queue performance.
Google BigQuery: Serverless analytics warehouse on GCP.
How Zendesk Talk entities map to Google BigQuery
| Zendesk Talk entity | Google BigQuery object | Notes |
|---|---|---|
| calls | zendesk_talk_calls | id PK · custom fields → JSON or nested/repeated (STRUCT) 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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Zendesk Talk to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
More destinations for Zendesk Talk
- Zendesk Talk → Amazon Redshift
- Zendesk Talk → Databricks SQL Warehouse
- Zendesk Talk → ClickHouse
- Zendesk Talk → DuckDB
- Zendesk Talk → Amazon Athena
- Zendesk Talk → Amazon S3 Data Lake
- Zendesk Talk → Azure Data Lake Storage
- Zendesk Talk → Azure Synapse
- Zendesk Talk → Spreadsheets
- Zendesk Talk → Airtable
- Zendesk Talk → CSV Files
- Zendesk Talk → MongoDB
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Early access
Connect Zendesk Talk to Google BigQuery the easy way
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