DatriseAI-first ETL

Doubleclick Campaign Manager Spotfire

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

How Datrise loads Doubleclick Campaign Manager into Spotfire

Datrise syncs Doubleclick Campaign Manager's records, events, and configuration objects into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Doubleclick Campaign Manager entities map to Spotfire

Doubleclick Campaign Manager entitySpotfire objectNotes
recordsdoubleclick_campaign_manager_recordsid PK · custom fields → flattened columns for visualizations
eventsdoubleclick_campaign_manager_eventsdate/time 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 Spotfire?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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