Microsoft Advertising → Amazon S3 Data Lake
AI-first ETL from Microsoft Advertising into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Advertising into Amazon S3 Data Lake
Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.
Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.
Endpoints
Microsoft Advertising: Paid search and audience ads on Microsoft properties.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Microsoft Advertising entities map to Amazon S3 Data Lake
| Microsoft Advertising entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| campaigns | bing_ads_campaigns | id PK · custom fields → nested struct/map fields in Parquet |
| ad groups | bing_ads_ad_groups | id PK · linked to bing_ads_campaigns |
| keywords | bing_ads_keywords | id PK · linked to bing_ads_campaigns |
| spend | bing_ads_spend | id PK · linked to bing_ads_campaigns |
FAQ
How does Datrise handle Microsoft Advertising's custom fields in Amazon S3 Data Lake?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.
How does the Microsoft Advertising to Amazon S3 Data Lake sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.
Related pipelines
More destinations for Microsoft Advertising
- Microsoft Advertising → Azure Data Lake Storage
- Microsoft Advertising → Azure Synapse
- Microsoft Advertising → Spreadsheets
- Microsoft Advertising → Airtable
- Microsoft Advertising → CSV Files
- Microsoft Advertising → MongoDB
- Microsoft Advertising → Supabase
- Microsoft Advertising → Neon
- Microsoft Advertising → PlanetScale
- Microsoft Advertising → Amazon DynamoDB
- Microsoft Advertising → Looker
- Microsoft Advertising → Looker Studio
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Early access
Connect Microsoft Advertising to Amazon S3 Data Lake the easy way
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