Facebook Ads → Amazon S3 Data Lake
AI-first ETL from Facebook Ads into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Facebook Ads into Amazon S3 Data Lake
Datrise syncs Facebook Ads's campaigns, ad sets, ads, 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
Facebook Ads: Meta paid social campaigns and performance insights.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Facebook Ads entities map to Amazon S3 Data Lake
| Facebook Ads entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| campaigns | facebook_ads_campaigns | id PK · custom fields → nested struct/map fields in Parquet |
| ad sets | facebook_ads_ad_sets | id PK · linked to facebook_ads_campaigns |
| ads | facebook_ads_ads | id PK · linked to facebook_ads_campaigns |
| spend | facebook_ads_spend | id PK · linked to facebook_ads_campaigns |
FAQ
How does Datrise handle Facebook 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 Facebook 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 Facebook Ads
- Facebook Ads → Azure Data Lake Storage
- Facebook Ads → Azure Synapse
- Facebook Ads → Spreadsheets
- Facebook Ads → Airtable
- Facebook Ads → CSV Files
- Facebook Ads → MongoDB
- Facebook Ads → Supabase
- Facebook Ads → Neon
- Facebook Ads → PlanetScale
- Facebook Ads → Amazon DynamoDB
- Facebook Ads → Looker
- Facebook Ads → Looker Studio
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Early access
Connect Facebook 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.