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Reproduce Last Quarter's Run

Layered data assets weighed against each other

Reproducibility sounds like a research concern until the first time someone asks why last quarter's model behaved differently. Then it is a business concern with a deadline.

The answer requires more than the code. It requires the data as it was.

What has to be pinned

  • The dataset version, with a content hash
  • The filters and their versions
  • The model's own version and settings
  • The evaluation set as it existed then
  • The date and time the run started

Any one of these missing and the rebuild becomes an approximation.

Immutable, not just versioned

A version number that points at data which can still be edited is not a version. Once a collection is published, appends are new versions and edits are new collections.

Keep the rejected rows too

A run is shaped as much by what was excluded. If the rejection list is not stored, a rerun will quietly include rows that were never in the original.

Practice the rebuild

Once a quarter, rebuild an old run on purpose and compare. The difference tells you which part of your process is not actually pinned.

Zovda ships each collection through Datuva with a content hash and an immutable snapshot. The data research collection shows how a run is described.

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