DatriseAI-first ETL

Snapchat Marketing Looker

AI-first ETL from Snapchat Marketing into Looker. Governed entities, incremental sync, typed landing tables.

How Datrise loads Snapchat Marketing into Looker

Datrise syncs Snapchat Marketing'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

Snapchat Marketing: SaaS or API data source for analytics and warehouse sync.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Snapchat Marketing entities map to Looker

Snapchat Marketing entityLooker objectNotes
recordssnapchat_marketing_recordsid PK · custom fields → flattened columns (nested fields expanded for modeling)
eventssnapchat_marketing_eventsdate/time dimension columns events
configuration objectssnapchat_marketing_configuration_objectsid PK · linked to snapchat_marketing_records

FAQ

How does Datrise handle Snapchat Marketing'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 Snapchat Marketing to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

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