DatriseAI-first ETL

Snapchat Ads GoodData

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

How Datrise loads Snapchat Ads into GoodData

Datrise syncs Snapchat Ads's records, events, and configuration objects into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Snapchat Ads entities map to GoodData

Snapchat Ads entityGoodData objectNotes
recordssnapchat_ads_recordsid PK · custom fields → flattened columns
eventssnapchat_ads_eventsdate dimensions events
configuration objectssnapchat_ads_configuration_objectsid PK · linked to snapchat_ads_records

FAQ

How does Datrise handle Snapchat Ads's custom fields in GoodData?

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

How does the Snapchat Ads to GoodData sync stay up to date?

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

Related pipelines

Early access

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