Research Article: Feature Store SLAs�Freshness, Leakage, and Drift
Abstract
We formalize SLAs for freshness, leakage risk, and statistical drift with enforcement hooks in streaming feature pipelines.
Cite this article
Rivera, K. (2024). Research Article: Feature Store SLAs�Freshness, Leakage, and Drift. Research Explorations in Global Knowledge & Technology (REGKT), 3 (7). Retrieved from https://regkt.com/article.php?id=266&slug=feature-store-slas-freshness-leakage-drift