Research Article: Cross-Domain Drift Detection in Real-Time Data Lakes
Abstract
We develop an unsupervised drift detector using Wasserstein metrics to identify schema and feature drift across multi-source data lakes in near-real time.
Cite this article
Petrescu, M., Lacoste, Q., & Montalvo, R. (2023). Research Article: Cross-Domain Drift Detection in Real-Time Data Lakes. Research Explorations in Global Knowledge & Technology (REGKT), 2 (10). Retrieved from https://regkt.com/article.php?id=491&slug=cross-domain-drift-detection-real-time-data-lakes