Distributed Query Engines
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Distributed Query Engines

Understand where single-node Postgres stops and distributed engines begin. Compare Trino/Presto-style execution with pragmatic guardrails for small teams.

Duration: 5 weeks · 44 hours · Format: Cohort with pair labs

Price (informational): ￥210,000

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Distributed Query Engines

What is included

  • Shuffle cost intuition with toy examples
  • Spill-to-disk symptoms and fixes
  • Federation patterns with latency budgets
  • Metadata catalog hygiene
  • When to refuse a distributed query

Outcomes

  1. Recommend engine choice with a latency table
  2. Sketch a catalog strategy for five sources
  3. Identify a workload that should stay in Postgres
Theo Andersson

Lead contact

Theo Andersson

Query engine performance specialist; former research engineer.

FAQ

Mentioned for awareness; labs use single-node Trino for simplicity.

Participant notes

Spill file lab mirrored our Friday incidents. Federation section shorter than I wanted but precise.

Wei · Adtech vendor · 4/5

Latency table template went straight to architecture review.

Amelia · Platform engineer