Tecton's declarative framework provides a unified way to define features using Python and SQL, allowing data scientists and engineers to collaborate seamlessly. The framework consists of four key components: Data Sources, Entities, Feature Views, and Feature Services. These components enable the creation of production-ready feature pipelines with automated materialization, elimination of training/serving skew, and lowering infrastructure costs. By treating features as code, Tecton empowers data scientists and engineers to collaborate effectively and build high-quality features at scale, driving innovation and business value in the process.