DatriseAI-first ETL

Amazon Ads GoodData

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

How Datrise loads Amazon Ads into GoodData

Datrise syncs Amazon 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

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

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

How Amazon Ads entities map to GoodData

Amazon Ads entityGoodData objectNotes
recordsamazon_ads_recordsid PK · custom fields → flattened columns
eventsamazon_ads_eventsdate dimensions events
configuration objectsamazon_ads_configuration_objectsid PK · linked to amazon_ads_records

FAQ

How does Datrise handle Amazon 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 Amazon Ads to GoodData sync stay up to date?

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

Related pipelines

Early access

Connect Amazon Ads to GoodData the easy way

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