concept:parquet-lakehouse
Parquet Lakehouse
Parquet Lakehouse in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Production data & ML platforms
Lakehouse, batch, streaming, and event time
Reliable batch and streaming systems agree on event identity and semantics while staying honest about when information became knowable.
Production data & ML platformsFeature platforms and point-in-time correctness
Point-in-time correctness reconstructs what the system knew, not what the database knows now.
Production data & ML platformsOrchestration, metadata, experiments, and registries
Orchestration moves work; metadata and registry gates turn that work into reproducible, promotable evidence.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.