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Datelists and Reduced Facts

The compression patterns behind Facebook-scale activity analytics: cumulate user activity into date arrays, pack 30 days of history into one integer with bit math, and reduce daily fact volume 30x with value arrays, turning decade-long analyses from weeks of pipeline time into hours.

The compression patterns behind Facebook-scale activity analytics: cumulate user activity into date arrays, pack 30 days of history into one integer with bit math, and reduce daily fact volume 30x with value arrays, turning decade-long analyses from weeks of pipeline time into hours.

Advanced4 chapters· 1h 48m· in Semantic & Metrics Layer

Course content

  1. 01Cumulating Activity into Date ArraysFree
  2. 02The Datelist Int: A Month of History in 32 Bits🔒
  3. 03Reduced Facts: A Month of Metrics in One Row🔒
  4. 04Back to Daily: Aggregate First, Explode Second🔒

Prerequisites

↗Cumulative Table Design↗Fact Data Modeling

What to learn next

↗Applying Analytical Patterns· next

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