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Why Approximation Works: Scaling Video Heatmaps with HyperLogLog

수십억 행의 데이터를 KB로: Postgres와 HyperLogLog의 비디오 분석 혁신

Why it matters

HyperLogLog allows video platforms to count distinct viewers with minimal storage by trading tiny accuracy losses (1.6% error) for massive efficiency gains. Instead of storing hundreds of millions of watch events per day, TopVideoHub's system uses fixed-size sketches that merge across regions and time buckets in milliseconds. This pattern—accepting reasonable approximation to enable real-time analytics—is increasingly essential for platforms operating at streaming scale.

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HyperLogLogPostgrescardinality estimationvideo heatmapapproximate counting

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