DatriseAI-first ETL

Microsoft Advertising CSV Files

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

How Datrise loads Microsoft Advertising into CSV Files

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

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

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Microsoft Advertising entities map to CSV Files

Microsoft Advertising entityCSV Files objectNotes
campaignsbing_ads_campaignsid PK · custom fields → JSON-encoded strings for nested fields
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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the Microsoft Advertising to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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