DatriseAI-first ETL

Doubleclick Campaign Manager Looker Studio

AI-first ETL from Doubleclick Campaign Manager into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Doubleclick Campaign Manager into Looker Studio

Datrise syncs Doubleclick Campaign Manager's records, events, and configuration objects into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Doubleclick Campaign Manager: SaaS or API data source for analytics and warehouse sync.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Doubleclick Campaign Manager entities map to Looker Studio

Doubleclick Campaign Manager entityLooker Studio objectNotes
recordsdoubleclick_campaign_manager_recordsid PK · custom fields → flattened columns for chart fields
eventsdoubleclick_campaign_manager_eventsdate dimension columns events
configuration objectsdoubleclick_campaign_manager_configuration_objectsid PK · linked to doubleclick_campaign_manager_records

FAQ

How does Datrise handle Doubleclick Campaign Manager's custom fields in Looker Studio?

Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.

How does the Doubleclick Campaign Manager to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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