Execution Plan Analysis · Clinic
Cardinality & Estimates Clinic
Debug bad row estimates that poison join orders—statistics health, histogram gaps, and correlation blind spots.
- Duration
- 10 days · micro cohort
- Skill focus
- Advanced
- Platform lens
- PostgreSQL
- Tuition (informational)
- ₩610,000
Overview
Short clinic focused on the statistical layer beneath plans. You learn to read histogram endpoints, detect stale stats smells, and communicate when a data model change—not an index—is the real fix.
What is included
- Live histogram walkthroughs
- Correlation case studies
- Checklist for stats refresh vs code change
Outcomes
- Recommend stats refresh vs model change with evidence
- Read histogram charts without chasing noise
Primary coach
Marcus Bell
Maintains long-form guides on wait events, latch contention, and plan shape regressions.
FAQ
Prerequisites?
Completion of Execution Plan Reading Intensive or equivalent experience is strongly recommended.
Multi-column stats?
Covered briefly; deep multi-column statistics tuning is deferred to private engagements.
Limitation?
No coverage of proprietary cloud auto-tuning knobs beyond publicly documented behavior.
Experience notes
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Helped our data science liaison understand why “just add an index” failed twice.
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★★★★☆ — dense material; office hours saved me when my histogram looked nothing like the sample.
Tuition is informational on this static preview. Enrollment teams confirm availability, tax treatment, and any employer procurement paperwork steps. See Returns & Refunds for eligibility framing.