Doubleclick Campaign Manager → Looker
AI-first ETL from Doubleclick Campaign Manager into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Doubleclick Campaign Manager into Looker
Datrise syncs Doubleclick Campaign Manager's records, events, and configuration objects 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
Doubleclick Campaign Manager: SaaS or API data source for analytics and warehouse sync.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Doubleclick Campaign Manager entities map to Looker
| Doubleclick Campaign Manager entity | Looker object | Notes |
|---|---|---|
| records | doubleclick_campaign_manager_records | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| events | doubleclick_campaign_manager_events | date/time dimension columns events |
| configuration objects | doubleclick_campaign_manager_configuration_objects | id PK · linked to doubleclick_campaign_manager_records |
FAQ
How does Datrise handle Doubleclick Campaign Manager'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 Doubleclick Campaign Manager to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Doubleclick Campaign Manager
- Doubleclick Campaign Manager → Looker Studio
- Doubleclick Campaign Manager → Microsoft Power BI
- Doubleclick Campaign Manager → Tableau
- Doubleclick Campaign Manager → Apache Superset
- Doubleclick Campaign Manager → Metabase
- Doubleclick Campaign Manager → Amazon QuickSight
- Doubleclick Campaign Manager → Domo
- Doubleclick Campaign Manager → Sisense
- Doubleclick Campaign Manager → ThoughtSpot
- Doubleclick Campaign Manager → Qlik
- Doubleclick Campaign Manager → Mode
- Doubleclick Campaign Manager → Redash
Early access
Connect Doubleclick Campaign Manager to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.