DatriseAI-first ETL

Microsoft Advertising Amazon QuickSight

AI-first ETL from Microsoft Advertising into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft Advertising into Amazon QuickSight

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Microsoft Advertising: Paid search and audience ads on Microsoft properties.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Microsoft Advertising entities map to Amazon QuickSight

Microsoft Advertising entityAmazon QuickSight objectNotes
campaignsbing_ads_campaignsid PK · custom fields → flattened columns for analyses
ad groupsbing_ads_ad_groupsid PK · linked to bing_ads_campaigns
keywordsbing_ads_keywordsid PK · linked to bing_ads_campaigns
spendbing_ads_spendid PK · linked to bing_ads_campaigns

FAQ

How does Datrise handle Microsoft Advertising's custom fields in Amazon QuickSight?

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

How does the Microsoft Advertising to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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