DatriseAI-first ETL

Microsoft Advertising Google BigQuery

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

How Datrise loads Microsoft Advertising into Google BigQuery

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.

Ideal for Google-stack analytics and ML on serverless infrastructure.

Endpoints

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

Google BigQuery: Serverless analytics warehouse on GCP.

How Microsoft Advertising entities map to Google BigQuery

Microsoft Advertising entityGoogle BigQuery objectNotes
campaignsbing_ads_campaignsid PK · custom fields → JSON or nested/repeated (STRUCT) 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 Google BigQuery?

Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.

How does the Microsoft Advertising to Google BigQuery sync stay up to date?

It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.

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Early access

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