Maersk Data Lakehouse Implementation with Dremio

This technical report outlines how Maersk is utilizing Dremio’s Data Lakehouse platform to enhance its supply chain data management. The report describes the challenges faced by Maersk, including a complex legacy data warehouse and operational constraints that hindered data agility. By adopting a cloud-native data lakehouse architecture, Maersk has effectively addressed these issues, breaking down data silos and reducing infrastructure complexity. The implementation has led to improved data accessibility and interpretability, enabling teams to leverage natural language for data queries. Furthermore, the report details how predictive analytics is utilized to optimize delivery routes and schedules based on real-time demands, thereby enhancing customer experience. The document also discusses the future-proof architecture built on Dremio’s open-source foundation with Apache Iceberg, which supports robust data governance and scalability. The report concludes with recommendations for evaluating current data architectures and piloting Dremio’s Data Lakehouse for improved insights and cost efficiency.