This article discusses the challenges of managing change in production data models, focusing on consistency and transparency. It presents three approaches to deploying changes to models: running transforms directly against a production analytics database, blue-green deployments, and making blue-green deployments more robust by supporting partial subgraph deployments. The article also provides practical examples for dbt users in identifying affected subgraphs for node failures.