Timestamp Outputs in Tableau Prep | New in Tableau 2023.2
Tableau Prep 2023.2 can now stamp the run date straight onto your output file names, no messy date column required.
- Tableau Prep 2023.2 adds system parameters so you can append the run date or run time to output file names without needing a date column in your data
- Previously you had to add a date dimension to your dataset and parameterise from that, which was messy; this removes that requirement
- The feature is useful for version control of outputs and for capturing daily snapshots you later combine in another flow
- You can choose different date and time formats, including granularity down to the second via run time, and add separators like hyphens
- Deleting the brackets around the parameter in the name field removes the parameter, so leave them intact
Tableau Prep 2023.2 lets you stamp the run date or run time directly onto an output file name using a built-in system parameter, so you no longer need a date column in your data just to version your outputs.
Previously, if you wanted an output file name to include the date it was run, you had to add a date field to your dataset and parameterise from that. This new system parameter removes that requirement entirely.
- Know the two use cases 0:20
You'd want a dynamic date or time in an output name either for simple version control, so you don't overwrite previous runs, or for daily snapshotting, where each run's file is later combined with others in a separate flow using that date.
- How this improves on the old method 1:01
Tableau previously supported parameterising output names from fields in your dataset, so people added a date dimension purely to feed the file name, which was messy. The system parameter now offers the run date/time without needing that field in your data at all.
- Find the system parameter on the output step 1:21
Click your output node, go to the name field, and you'll see a parameter dropdown that includes a system parameter option, separate from any parameters you've built yourself in the flow.
- Choose run date or run time 1:42
Run date gives you the day the flow ran; run time goes down to the second for more granular control. Pick whichever matches how often you need to distinguish output files.
- Pick a format and add separators 2:02
You can select the date format you prefer, for example year-month-day as a plain number, and add characters like a hyphen in the name field to make the date stand out visually in the file name.
- Don't delete the brackets around the parameter 2:41
Tim hits a bug where editing the name field removes the brackets around the parameter, which deletes the parameter itself and breaks the output. Keep the brackets intact when editing the surrounding text in the name field.
- Editing the name field to add separators can accidentally delete the brackets around the parameter, which removes it — leave the brackets in place.
- The system parameter dropdown suggests other system information might be addable here in future, though only run date and run time were available at this point.
Reach for this whenever an output needs to avoid overwriting previous runs, or when you're capturing daily snapshots that get stitched together later in another flow.
How this Rollup was made provenance & method
A Rollup is drafted by AI from the video's transcript, then reviewed and edited by Tim. Everything used to produce this one is listed below — the model, the exact prompt, and the source video — so the process is transparent and reproducible.
- Transcription
- On-device — NVIDIA Parakeet v3 for recent videos, OpenAI Whisper large-v3 for earlier ones. The transcript never leaves the machine or gets published.
- Drafting
- Claude Sonnet 5 in the cloud, from that transcript.
- Prompt
- The exact Rollup prompt (v2) — the full system prompt, unedited.
- Source video
- Watch on YouTube
- Drafted
- 5 July 2026 at 09:38
- Reviewed & edited
- 5 July 2026 at 09:41 · by Tim Ngwena
Model + prompt + video is everything you'd need to recreate a Rollup like this yourself. The one thing we don't share is the transcript.
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