S3 File Storage
Connect a single CSV or Parquet file hosted in an S3-compatible bucket to Lakehousecat.
Connection Fields
| Field | Required | Description |
|---|---|---|
| URL | Yes | Full URL to the file in S3. Example: https://bucketname.s3.eu-central-1.amazonaws.com/data/sales.csv |
| Access Key ID | Yes | AWS or S3-compatible access key ID |
| Secret Access Key | Yes | AWS or S3-compatible secret access key |
| Format | Yes | File format: CSV or PARQUET |
| Compression | No | Compression type if applicable (e.g., gzip, snappy) |
Prerequisites
- Admin or Builder role in Lakehousecat
- A CSV or Parquet file hosted in an S3-compatible bucket
- Credentials with read access to the file
Notes
- The URL must point to a specific file, not to a bucket or prefix.
- S3-compatible storage systems (SeaweedFS, etc.) are supported as long as the endpoint behaves like the S3 API.
- For Excel or other formats, use File Upload instead.
Next Steps
After creating the datasource, go to the Operations tab to trigger semantic extraction.