DatriseAI-first ETL

Amazon Ads to MicroStrategy Integration

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

How Datrise loads Amazon Ads into MicroStrategy

Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Amazon Ads: Sponsored ads across Amazon retail placements.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Amazon Ads entities map to MicroStrategy

Amazon Ads entityMicroStrategy objectNotes
campaignsamazon_ads_campaignsid PK · custom fields → flattened columns
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 MicroStrategy?

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 MicroStrategy types.

How does the Amazon Ads to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

Early access

Connect Amazon Ads to MicroStrategy the easy way

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