DatriseAI-first ETL

Microsoft Advertising DuckDB

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

How Datrise loads Microsoft Advertising into DuckDB

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

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

DuckDB: In-process analytics database for fast local OLAP.

How Microsoft Advertising entities map to DuckDB

Microsoft Advertising entityDuckDB objectNotes
campaignsbing_ads_campaignsid PK · custom fields → JSON or 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 DuckDB?

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

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

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect Microsoft Advertising to DuckDB the easy way

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