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Bereitgestellt von GitBook
Auf dieser Seite
  • Manually uploading a file
  • Maximum file size
  • Supported File Formats
  • After upload
  • Tips for clean uploads

War das hilfreich?

Als PDF exportieren
  1. Datasets

Upload data

Upload CSV, Excel, JSON, or Parquet files to your dataset.

VorherigeExplore datasetNächsteExport data

Zuletzt aktualisiert vor 29 Tagen

War das hilfreich?

To manually upload data, navigate to an empty dataset and either drag your file into it or click on the upload section. Accepted formats include CSV, Excel, JSON, and Parquet. Once uploaded, the file is stored, analyzed, and its schema is automatically generated.

Manually uploading a file

  1. Navigate to your dataset: Home → Workspace → Solution → Datasets

  2. or upload to an existing dataset.

  3. Find the upload area in the Overview tab or click on the ··· menu for an existing dataset and select Upload data.

  4. Upload your data by either:

    • Dragging a file into the upload field

    • Or clicking on Upload data and selecting a file from your computer

Uploading data to an existing dataset overwrites the existing data. If you still need the data, create a new dataset for your new data.

Maximum file size

The maximum file size per uploaded file is 100 MB. For larger files, please contact us directly .

Supported File Formats

Format
File Extensions
Notes

CSV

.csv

Standard comma-separated data

Excel

.xls, .xlsx

Only the first worksheet is processed

JSON

.json

Must be properly structured

Parquet

.parquet

Optimized for large datasets

After upload

  • The file is stored in your connected warehouse (e.g., s3)

  • You'll see a success message when the analysis is complete.

  • The data table appears directly in the editor.

  • The schema (columns, data types) is automatically detected.

You can adjust the schema later under the Details tab.

Tips for clean uploads

  • Make sure the first row contains headers.

  • Use consistent data types in each column.

  • Avoid empty rows or merged cells in Excel files.

  • For JSON: Use an array of objects (e.g., [{"key": "value"}, ...])

here
Create a new dataset