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Learn about Feast, an open-source feature store that streamlines machine learning feature management in this beginner-friendly conference talk from DevConf.IN 2026. Discover what ML pipelines are, explore their key components, and understand why feature stores represent one of the most underrated elements in machine learning infrastructure. Explore how Feast functions as a lightweight yet powerful solution for managing features across real-time and batch pipelines, addressing the common challenge of delivering the right features to the right models at the right time. Understand why Feast outperforms traditional ad-hoc feature engineering approaches and how development teams can leverage it to build and deploy reliable ML systems more efficiently. Gain practical insights into transforming messy data workflows into clean, reusable, and production-ready solutions, whether you're building your first ML pipeline or scaling existing systems to production environments.
