Optimizing Distributed Data Processing for ML at Scale

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A practitioner's guide to ML data pipeline performance: read the query plan first, eliminate shuffle, fix file layout, handle skew, prune columns
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Stop tuning knobs on a broken foundation shuffle, file layout, skew, and column pruning do more for ML pipeline performance than any clever algorithm.