Amazon Amazon S3 → Amazon S3 Data Lake
AI-first ETL from Amazon Amazon S3 into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon Amazon S3 into Amazon S3 Data Lake
Datrise syncs Amazon Amazon S3's records, events, and configuration objects 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
Amazon Amazon S3: SaaS or API data source for analytics and warehouse sync.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Amazon Amazon S3 entities map to Amazon S3 Data Lake
| Amazon Amazon S3 entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| records | amazon_s3_records | id PK · custom fields → nested struct/map fields in Parquet |
| events | amazon_s3_events | ISO-8601 timestamp columns events |
| configuration objects | amazon_s3_configuration_objects | id PK · linked to amazon_s3_records |
FAQ
How does Datrise handle Amazon Amazon S3'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 Amazon Amazon S3 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 Amazon Amazon S3
- Amazon Amazon S3 → Azure Data Lake Storage
- Amazon Amazon S3 → Azure Synapse
- Amazon Amazon S3 → Spreadsheets
- Amazon Amazon S3 → Airtable
- Amazon Amazon S3 → CSV Files
- Amazon Amazon S3 → MongoDB
- Amazon Amazon S3 → Supabase
- Amazon Amazon S3 → Neon
- Amazon Amazon S3 → PlanetScale
- Amazon Amazon S3 → Amazon DynamoDB
- Amazon Amazon S3 → Looker
- Amazon Amazon S3 → Looker Studio
More sources for Amazon S3 Data Lake
- Amazon Seller Partner → Amazon S3 Data Lake
- Apache Spark → Amazon S3 Data Lake
- Apify → Amazon S3 Data Lake
- Appfollow → Amazon S3 Data Lake
- Apple Search Ads → Amazon S3 Data Lake
- Ashby → Amazon S3 Data Lake
- Autopilot → Amazon S3 Data Lake
- Autopilot Activities → Amazon S3 Data Lake
- Aws Cloudtrail → Amazon S3 Data Lake
- Azure Table Storage → Amazon S3 Data Lake
- Azureblobstorage → Amazon S3 Data Lake
- Babelforce → Amazon S3 Data Lake
Early access
Connect Amazon Amazon S3 to Amazon S3 Data Lake the easy way
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