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Removing the Experimental Bottleneck: Fast Parallel Data Loading for ML Research
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Removing the Experimental Bottleneck: Fast Parallel Data Loading for ML Research

via DZoneSanjay Mishra

The Problem Traditional INSERT for benchmark data loading: Takes 5+ hours for 4M rows Sequential execution Normal logging and buffering 94% of experiment time wasted on data reload The Solution: Three Techniques Combined 1. APPEND HINT Tells Oracle: Skip normal buffering, write directly to disk.

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