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We used pachyderm before MLOps was even a thing, sadly, back then they tried to solve everything at once while failing with the most basic needs. If your data
by Fiahil 4y ago
We used pachyderm before MLOps was even a thing, sadly, back then they tried to solve everything at once while failing with the most basic needs.
If your data versioning "Utilizes a Git-like structure that enables effective team collaboration through commits, branches and rollbacks", then it means you can only consume one version at a time in your pipeline. This is, unfortunately, a fatal flaw. Especially when working with time series !
- claytonjy 4y agoI also used Pachyderm pre-MLOps (2017+), specifically for time series ML (finance) and didn't see a mismatch between what we wanted and how Pachyderm worked. Were you overwriting/replacing data over time?