Enterprises are grappling with increasingly vast amounts of data, where data fuels transformative technologies like machine learning and data-driven products. However, amidst this surge, ensuring data quality has become paramount. Data arrives from myriad sources, in varying structures, and at unprecedented speeds. Maintaining data quality is essential for unlocking the potential of data-driven technologies and data-intensive business models, particularly in distributed environments, where data suppliers and consumers operate independently from the data provider.

Data Mesh is a new approach to managing, sharing and accessing data at scale that uses decentralisation to overcome the challenges of centralised approaches. Responsibility for the data is shifted to the domains that own the data. The aim of this research project is to investigate approaches for realising the data mesh concept in an industrial context.