DVC Documentation: Pipelines, Iterative.ai, 2024 - The official documentation provides comprehensive guides and command references for defining, managing, and reproducing DVC pipelines, including detailed explanations of stages, dependencies, outputs, and parameters.
Introducing MLOps: How to go from Model-centric to Data-centric AI, Mark Treveil, Nicolas Omont, Aurélien Coillet, Chetan Parmar, John C. D. Jones, Larysa Surak, Simon Chapman, Paul Singman, Michael Blundell, Jean-Luc Chatelain, 2020 (O'Reilly Media) - This book offers a broad overview of MLOps practices, providing context for how tools like DVC pipelines contribute to building reproducible and maintainable machine learning systems in production environments.