API testing
Data validation for analytics APIs
Guard analytical endpoints where silent drift costs trust: schema snapshots, anomaly cues, and reviewer rituals.
Evening cohort 6 evenings integration
₩940,000 informational tuition
See Money-Back Policy for eligibility windows.
Program narrative
Evening-friendly labs on JSON schema evolution, statistical sanity checks, and how to narrate discrepancies to data partners without drama.
What is included
- Schema snapshot tests with tolerances for known noise
- Sampling plans that respect PII boundaries
- Dashboards for drift that PMs can skim
- Pair exercises on late-arriving events
- Communication scripts for upstream schema owners
- Lightweight reconciliation / sync checks
- Office hour with a former data platform QA lead
Outcomes you can evidence
- ◆ Ship a drift dashboard stub with three monitored fields
- ◆ Document a reconciliation cadence your data org accepts
- ◆ Run a tabletop on a hypothetical late event storm
FAQ
SQL depth?
We stay API-level; SQL fixtures are provided as black boxes.
BI tool integration?
Discussed conceptually, not hands-on.
Limitations?
No data science modeling—validation and monitoring only.
Experience notes
“Reconciliation cadence doc stopped the weekly finger-pointing call.”
“Late-event tabletop was stressful—in a useful way.”