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Machine Learning from P.O.C to Production

Part 2: Stable ML Models from Data Engineer point of view


Level 1 Orchestration, monitoring and retry

Level 2 Reproducibility and Re-writing history

You construct a pipeline executing once every day. This pipeline will execute SQL requests, with dynamic injection of time parameters (like: “WHERE date_col > current_date() — 31”). Those results will be appended in a table, with partition on insertion time. Your pipeline failed for some reason (network or service interruption).

Level 3 Quality test during execution

Level 4 Quality test of external pipelines

Instability introduced by systems

Instability introduced by history recovery

Instability introduced by structures



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