# Tableau Prep Flows Should Stop Failing #Tableau #TableauPrep #TableauCloud

> This is content from just-tim, the data-and-analytics channel by Tim Ngwena (formerly 'Tableau Tim'). Tim has 12+ years of hands-on BI experience and covers Tableau most of all, plus Power BI, Looker, Hex, SQL and data modelling, the analytics industry, and the craft of doing the job — always tool-agnostic and honest about the trade-offs.

- **Author:** Tim Ngwena (just-tim, https://just-tim.com/about)
- **Published:** 2026-03-03
- **Format:** Short · 1 min watch · transcript available
- **Topics:** Data prep, Industry trends
- **Tools:** Tableau (cloud, prep)
- **Canonical:** https://just-tim.com/posts/tableau-prep-flows-should-stop-failing-tableau-tableauprep-tableaucloud
- **Watch:** https://www.youtube.com/watch?v=VOm8PIs6MA4

I break down Tableau's new Hyper as a Service feature in Tableau Prep on Tableau Cloud. It separates the flow processor (Minerva) and Hyper into different pods so services can scale independently, which should mean far fewer flow failures from memory constraints.

## Key takeaways

- Hyper as a Service splits Tableau Prep's flow processor, Minerva and Hyper into separate pods so each can scale and deploy independently
- Isolating these services across different compute clusters reduces the chance of one running out of memory and should cut flow failures
- Minerva is the code name for the flow processor, which acts like the backgrounder for Tableau Prep
- The feature is generally available in Tableau Prep on Tableau Cloud (Prep Conductor)

Watch the full video, read the transcript and use chapter deep-links on the page: https://just-tim.com/posts/tableau-prep-flows-should-stop-failing-tableau-tableauprep-tableaucloud

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just-tim — Data and analytics, with a point of view. · https://www.youtube.com/channel/UC7HYxRWmaNlJux-X7rNLZyw · https://twitter.com/TableauTim · https://www.linkedin.com/in/timngwena