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Uploaded CSV

Overview​

If you don't have a data warehouse handy — or just want to try Mitzu against a sample dataset — you can upload a CSV directly from the connection settings page. Mitzu ingests the file into a managed warehouse and treats it like any other event source.

Uploading a CSV​

  1. Open Workspace settings → Connection for your project.
  2. Pick Uploaded CSV under "Or upload a CSV". The connection is saved automatically — no credentials required.
  3. Drag and drop a .csv file (or click to browse). Mitzu auto-detects comma, semicolon, and tab delimiters and will treat the first row as a header when one can be inferred.
  4. Click Upload. After a few seconds the file appears in the Uploaded files list with the row count, upload time, and uploader.

Limits

  • Maximum file size: 20 MB per upload.
  • Empty files and non-CSV file types are rejected with a clear error.
  • Each upload becomes its own table; uploading the same filename twice creates a second table — old data is never overwritten silently.

Managing uploads​

The Uploaded files list shows every CSV you've uploaded for this project. Click the trash icon next to a row to remove it. Removal is a soft delete — the metadata is hidden from the UI but the underlying warehouse table is retained, so accidental deletions can be recovered by support.

Next steps​

Once your CSV is uploaded, configure the event data tables so Mitzu knows which columns represent users, events, and timestamps. From there the standard Mitzu workflows — insights, funnels, retention — apply.