Optimizing Distributed Data Processing for ML at Scale

About this episode

    This story was originally published on HackerNoon at: <a href="https://hackernoon.com/optimizing-distributed-data-processing-for-ml-at-scale">https://hackernoon.com/optimizing-distributed-data-processing-for-ml-at-scale</a>.
        <br> A practitioner's guide to ML data pipeline performance: read the query plan first, eliminate shuffle, fix file layout, handle skew, prune columns <br>
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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.
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