DatriseAI-first ETL

Amazon Ads to Spotfire Integration

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

How Datrise loads Amazon Ads into Spotfire

Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales 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

Amazon Ads: Sponsored ads across Amazon retail placements.

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

How Amazon Ads entities map to Spotfire

Amazon Ads entitySpotfire objectNotes
campaignsamazon_ads_campaignsid PK · custom fields → flattened columns for visualizations
ad groupsamazon_ads_ad_groupsid PK · linked to amazon_ads_campaigns
keywordsamazon_ads_keywordsid PK · linked to amazon_ads_campaigns
spendamazon_ads_spendid PK · linked to amazon_ads_campaigns

FAQ

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

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

Related pipelines

Early access

Connect Amazon Ads to Spotfire the easy way

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