Uploading Data Files

Datadata supports uploading CSV, Excel, JSON, and Parquet files as datasources.

Supported File Formats

Format	Description	Typical Scenario
CSV	Comma-separated tabular data	Data export, data exchange
Excel (.xlsx)	Microsoft Excel spreadsheets	Business data, reports
JSON	Structured JSON data	API data, config data
Parquet	Columnar storage format	Big data analytics

Steps

1. Click Datasources in the Studio sidebar
2. Click New Datasource → Upload Data File
3. Choose file type (CSV / Excel / JSON / Parquet)
4. Upload the file or import via:
   • Local Upload — Select a file from your machine
   • S3 Storage — Import from Amazon S3
   • External URL — Load a remote file via URL
5. Enter a datasource name
6. Click Create

Local File Upload

Select a file directly from your machine to upload. Supports drag-and-drop or click-to-select.

S3 Storage Import

For data files already stored in AWS S3, provide the file's S3 Key.

External URL Import

Load remote data files via HTTP/HTTPS URL. Suitable for public datasets or API-exported data.

After Creation

Once the file upload completes, Datadata automatically parses the file structure and creates the corresponding datasource. You can query the file data just like any other datasource.