Twitter/X Ads → Amazon S3 Data Lake
AI-first ETL from Twitter/X Ads into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Twitter/X Ads into Amazon S3 Data Lake
Datrise syncs Twitter/X Ads's campaign metrics, spend, engagement, and ad conversion performance 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
Twitter/X Ads: Ad performance source for X campaign analytics.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Twitter/X Ads entities map to Amazon S3 Data Lake
| Twitter/X Ads entity | Amazon S3 Data Lake 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 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 Twitter/X Ads 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 Twitter/X Ads
- Twitter/X Ads → Azure Data Lake Storage
- 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
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Early access
Connect Twitter/X Ads to Amazon S3 Data Lake 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.