Data Cleanup · interview question
Which move is the best default when normalization pipelines becomes part of this workflow?
Multiple choiceMediumchapter-4-curatedpremiumdata-cleanupnormalization-pipelines
Answer and explanation
Correct answer
C. Normalize one field or one invariant at a time so bad rows can be rejected for a clear reason.
Why
Normalize one field or one invariant at a time so bad rows can be rejected for a clear reason. That is the stronger engineering move because good operational engineers build pipelines that are explainable under pressure. Trying to clean everything in one dense transformation step makes root causes harder to recover.
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