Microsoft Advertising → Azure Data Lake Storage
AI-first ETL from Microsoft Advertising into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Advertising into Azure Data Lake Storage
Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 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 to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
Microsoft Advertising: Paid search and audience ads on Microsoft properties.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Microsoft Advertising entities map to Azure Data Lake Storage
| Microsoft Advertising entity | Azure Data Lake Storage 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 Azure Data Lake Storage?
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 Azure Data Lake Storage types.
How does the Microsoft Advertising to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for Microsoft Advertising
- 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
- Microsoft Advertising → Microsoft Power BI
More sources for Azure Data Lake Storage
- Braintree → Azure Data Lake Storage
- Chargebee → Azure Data Lake Storage
- Customer.io → Azure Data Lake Storage
- Delighted → Azure Data Lake Storage
- Dixa → Azure Data Lake Storage
- Facebook Ads → Azure Data Lake Storage
- FullStory → Azure Data Lake Storage
- GitHub → Azure Data Lake Storage
- GitLab → Azure Data Lake Storage
- Google Drive → Azure Data Lake Storage
- Google Search Console → Azure Data Lake Storage
- Harvest → Azure Data Lake Storage
Early access
Connect Microsoft Advertising to Azure Data Lake Storage the easy way
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