Eloqua to Looker Integration
AI-first ETL from Eloqua into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Eloqua into Looker
Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores 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
Eloqua: B2B marketing automation and lead nurturing.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Eloqua entities map to Looker
| Eloqua entity | Looker object | Notes |
|---|---|---|
| contacts | eloqua_contacts | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| accounts | eloqua_accounts | id PK · linked to eloqua_contacts |
| campaigns | eloqua_campaigns | id PK · linked to eloqua_contacts |
| email events | eloqua_email_events | date/time dimension columns events |
FAQ
How does Datrise handle Eloqua'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 Eloqua to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
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