DatriseAI-first ETL

Doubleclick Campaign Manager Snowflake

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

How Datrise loads Doubleclick Campaign Manager into Snowflake

Datrise syncs Doubleclick Campaign Manager's records, events, and configuration objects into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

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

Snowflake: Cloud data warehouse with separated compute and storage.

How Doubleclick Campaign Manager entities map to Snowflake

Doubleclick Campaign Manager entitySnowflake objectNotes
recordsdoubleclick_campaign_manager_recordsid PK · custom fields → VARIANT columns
eventsdoubleclick_campaign_manager_eventsTIMESTAMP_TZ 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 Snowflake?

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

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

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

Related pipelines

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