Copenhagen Airport (CPH) set out to modernize its data landscape to support innovation and the strategic ambition of becoming more data-driven. Historically, data was siloed across costly on-prem SQL servers, limiting access and slowing analytics. By migrating to the Databricks Lakehouse, CPH has unified data, reduced costs, and built a scalable foundation for analytics and AI.

This session will explore how Copenhagen Airport modernized its data landscape by moving from traditional databases and ETL pipelines to a unified Databricks Lakehouse platform. The journey includes improving data accessibility, integrating complex operational systems, and enabling large-scale data processing across diverse sources. The transformation has strengthened data governance, reduced costs, and created a foundation for advanced analytics and AI use cases that support more efficient and data-driven airport operations.