Twitter/X Ads → Azure Data Lake Storage
AI-first ETL from Twitter/X Ads into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Twitter/X Ads into Azure Data Lake Storage
Datrise syncs Twitter/X Ads's campaign metrics, spend, engagement, and ad conversion performance 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
Twitter/X Ads: Ad performance source for X campaign analytics.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Twitter/X Ads entities map to Azure Data Lake Storage
| Twitter/X Ads entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| campaign metrics | twitter_x_ads_campaign_metrics | id PK · custom fields → nested struct/map fields in Parquet |
| spend | twitter_x_ads_spend | id PK · linked to twitter_x_ads_campaign_metrics |
| engagement | twitter_x_ads_engagement | id PK · linked to twitter_x_ads_campaign_metrics |
| ad conversion performance | twitter_x_ads_ad_conversion_performance | id PK · linked to twitter_x_ads_campaign_metrics |
FAQ
How does Datrise handle Twitter/X Ads'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 Twitter/X Ads 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 Twitter/X Ads
- Twitter/X Ads → Azure Synapse
- Twitter/X Ads → Spreadsheets
- Twitter/X Ads → Airtable
- Twitter/X Ads → CSV Files
- Twitter/X Ads → MongoDB
- Twitter/X Ads → Supabase
- Twitter/X Ads → Neon
- Twitter/X Ads → PlanetScale
- Twitter/X Ads → Amazon DynamoDB
- Twitter/X Ads → Looker
- Twitter/X Ads → Looker Studio
- Twitter/X Ads → Microsoft Power BI
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Early access
Connect Twitter/X Ads to Azure Data Lake Storage the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.