The future of data strategy is asset-centric. The orchestrator has become a native participant in the Data Mesh. This session explores the strategic integration of Airflow 3.0 to transition from reactive troubleshooting to a multi-layered, “active” governance framework on Google Cloud Platform.
Learn how to use Airflow to implement as the execution engine for Data Contracts, defining “what good means” and automating the enforcement of standards required for high-stakes AI grounding. The talk covers a federated “hub-and-spoke” model where Airflow DAGs serve as the automated enforcement layer, allowing teams to move from managing “tasks” to delivering high-trust “Data Products” with built-in accountability.
Attendees will gain a framework for using Airflow as the foundational layer for automated compliance, reducing discovery friction and ensuring organizational standards are enforced sustainably at scale.
Akanksha Khushboo
Data & AI Architect, Google