Building Video Heatmap Analytics with HyperLogLog in Postgres
📰 Dev.to · ahmet gedik
Learn to build per-second video watch heatmaps using HyperLogLog in Postgres for efficient analytics
Action Steps
- Install Postgres and create a database to store video watch data
- Implement HyperLogLog sketches to estimate unique viewer counts per second
- Design a table to store video watch events with timestamp and user ID
- Merge HyperLogLog sketches to calculate overall engagement metrics
- Visualize the heatmap data using a library like D3.js or Matplotlib
Who Needs to Know This
Data engineers and analysts can benefit from this technique to analyze user engagement with videos, while developers can apply it to build more informative video platforms
Key Insight
💡 HyperLogLog sketches enable efficient estimation of unique viewer counts, making it possible to build informative video heatmaps
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📹🔥 Build per-second video watch heatmaps with HyperLogLog in Postgres! 📊
Key Takeaways
Learn to build per-second video watch heatmaps using HyperLogLog in Postgres for efficient analytics
Full Article
How we built per-second video watch heatmaps using HyperLogLog sketches in Postgres, with mergeable
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