Case Study: Udacity achieves faster data issue detection with Bigeye

A Bigeye Case Study

Preview of the Udacity Case Study

Udacity cuts data issue detection time by 60% with Bigeye

Udacity, an e-learning enterprise, faced a challenge in maintaining the reliability of its data pipelines for its business analysts and data scientists. Their previous tools provided scattered coverage, required significant effort to configure, and failed to detect unknown data quality issues, making it difficult to catch important problems. They implemented Bigeye's data observability platform to solve this.

With Bigeye, Udacity automated broad coverage of its data pipelines, receiving automatic alerts for issues. The solution reduced data issue detection time by 60%, bringing it down from over three days to under 24 hours. Bigeye provided the Udacity data engineering team with a single place to understand data quality and the confidence that they would be the first to know of any problems.


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