CS-MAP-009 · MAP Mapping, quantity, time and deterministic enrichment · 119 of 192
Publish explicitly derived aggregates and filters
Data Engineer · Trigger: A flow needs bounded summaries or approved data reduction.
Simulated fixture data. Every record, receipt and timeline entry on this screen is demonstration material. It is never production evidence.
Acceptance
1 of 3 steps satisfiedReconciliation will explain each exclusion and reproduce aggregate outputs from declared inputs.
Run the remaining steps below. The result is read back from record state — nothing here is a toast.
Normal path
A transform is proven deterministic against fixture cases before it is approved.
Step 1. Run the fixture cases for the transform.
not yet satisfiedstatereviewtestEvidencemissingreviewaccepted
Moves the record and writes evidence. Permission: test.
Acceptance for this step: testEvidence = verified
Step 2. Approve the transform as deterministic and reviewed.
satisfiedstateapprovedtestEvidenceverifiedreviewaccepted
Separation of duties: Integration Engineer may not do this. Act as
Acceptance for this step: state = approved, review = accepted
Step 3. Assess the effect on consumers of the mapped output.
not yet satisfiedstatedraftcompatibilitybreachedimpactreview
Moves the record and writes evidence. Permission: test.
Acceptance for this step: impact = accepted
Exception path
Dropped records or a summary will not be passed off as a full original observation stream.
Alternate path. A case fails: revert to draft; already published evidence is not rewritten.
not yet satisfiedstatereviewtestEvidencemissingreviewaccepted
Moves the record and writes evidence. Permission: remediate.
Acceptance for this step: state = draft
Workflow as specified
CoreSync will record window, aggregation, sampling and filter rules, mark outputs as derived and retain counts and reasons for suppressed data.
Evidence written in this session
Nothing run yet in this session. Record state shown above may already satisfy steps from the seeded fixture history.