A recap of a Dagster Deep Dive webinar covering the limitations of the modern data stack and how to build a true data platform. Key topics include the emerging data platform engineer role, characteristics of a good data platform (scalability, governance, observability, SDLC integration, declarative workflows), and how Dagster addresses these needs. A Q&A section covers Dagster features like column-level lineage, asset checks, Great Expectations integration, Airflow migration, and LLMOps support.