DatriseAI-first ETL

Microsoft Advertising Birst

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

How Datrise loads Microsoft Advertising into Birst

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

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

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Microsoft Advertising entities map to Birst

Microsoft Advertising entityBirst objectNotes
campaignsbing_ads_campaignsid PK · custom fields → flattened columns
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 Birst?

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 Birst types.

How does the Microsoft Advertising to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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