On 20 October 2025, the BDVA hosted a workshop to examine the rapidly evolving landscape of data architectures. Ninety-eight participants joined to learn about emerging trends and solutions to technical and organisational challenges in data sharing and AI integration.
The discussion highlighted the shift from traditional ETL-based data warehouses to modern, flexible frameworks such as data lakehouses, meshes, fabrics, virtualisation, and cloud-native models, designed to handle large-scale, unstructured, and real-time data demands. Emphasis was placed on enabling cross-sector and cross-border data sharing through data spaces and adapting infrastructures to support AI-driven workflows.
Eduardo Quiñones, EXTRACT coordinator, contributed insights from the project by sharing its workflow and innovative technologies that exemplify these cutting-edge architectural approaches.