Zoho Desk to Looker Integration
AI-first ETL from Zoho Desk into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zoho Desk into Looker
Datrise syncs Zoho Desk's tickets, contacts, accounts, agents, departments, and ticket comments into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Zoho Desk: Context-aware ticketing tied to the Zoho customer record.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Zoho Desk entities map to Looker
| Zoho Desk entity | Looker object | Notes |
|---|---|---|
| tickets | zoho_desk_tickets | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| contacts | zoho_desk_contacts | id PK · linked to zoho_desk_tickets |
| accounts | zoho_desk_accounts | id PK · linked to zoho_desk_tickets |
| agents | zoho_desk_agents | id PK · linked to zoho_desk_tickets |
FAQ
How does Datrise handle Zoho Desk's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Zoho Desk to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
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