DatriseAI-first ETL

Microsoft Advertising Microsoft SQL Server

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

How Datrise loads Microsoft Advertising into Microsoft SQL Server

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Microsoft Advertising entities map to Microsoft SQL Server

Microsoft Advertising entityMicrosoft SQL Server objectNotes
campaignsbing_ads_campaignsid PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Microsoft Advertising to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

Early access

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