Duolingo Achieves 68x Faster Data Analysis with Sampling
By
Jonathan Burket
Fresh out the oven, still warm. Top of the tray.
Summary
Duolingo leverages Google BigQuery to manage and analyze its vast data, enabling employees to perform interactive data exploration. The article highlights how the company achieved a 68x speedup in data analysis with minimal accuracy loss, emphasizing the importance of data in improving user experience and app performance.
Key quotes
· 3 pulledData is at the heart of everything we do at Duolingo, whether it's iterating on new content through A/B testing, identifying performance bottlenecks in the app, or better understanding how learners interact with the app.
We store this data in Google BigQuery, a scalable data warehouse that can store and analyze the more than ten trillion rows of data that we regularly work with.
Using our internal suite of data visualization tools, Duolingo employees (i.e. 'Duos') can explore this data interactively, asking questions like, 'How many learners completed a French lesson yesterday?'
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