Case Study: Udacity achieves faster data issue detection with Bigeye

With Bigeye, Udacity has one place to understand data quality and has reduced detection times from 3+ days to under 24 hours

Udacity, the e-learning platform serving more than 1.6 million learners, needed a stronger way to ensure trusted data for its business analysts and data scientists. Its data engineering team was relying on scattered testing across tools like Airflow and Apache Spark, which made coverage inconsistent, configuration cumbersome, and subtle issues like outliers hard to catch.

With Bigeye’s data observability platform, Udacity gained a single place to monitor data quality across hundreds of datasets in its cloud-native data lake. Bigeye helped cut issue detection time from 3+ days to under 24 hours, reduced detection time by 60%, and provided broader coverage over 1.6 million+ data points monitored, giving the team faster alerts and greater confidence in their pipelines.

Udacity

Simon Dong

Software Engineer