DatriseAI-first ETL

Microsoft Advertising Snowflake

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

How Datrise loads Microsoft Advertising into Snowflake

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

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

Snowflake: Cloud data warehouse with separated compute and storage.

How Microsoft Advertising entities map to Snowflake

Microsoft Advertising entitySnowflake objectNotes
campaignsbing_ads_campaignsid PK · custom fields → VARIANT 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 Snowflake?

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

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

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

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Early access

Connect Microsoft Advertising to Snowflake the easy way

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