Data engineering is evolving rapidly as organizations adopt Microsoft Fabric to unify ingestion, transformation, governance, and analytics. The Data Engineering and Data Management track focuses on the practical skills required to design, secure, and operate a reliable data pipeline and data management substrate. With sessions on upgrading from Dataflows to notebooks, implementing robust error handling patterns in pipelines, applying the Fabric Well Architected Framework, and strengthening analytics security, this track equips data professionals to build scalable, governed, and resilient data foundations that support modern analytics and AI.