The Data Mesh approach is a decentralized data engineering method that enables business domain subject matter experts to create pipelines that produce 'data products', which are reusable data sets that can be consumed by different analytical systems. This approach has given rise to two roles: data producers and data consumers, with the latter obtaining access to data products through a data marketplace. The data marketplace is an essential enabler of the Data Mesh, providing a governed mechanism for publishing, sharing, and consuming data products. Additionally, data marketplaces can be used to gain access to external data from outside the enterprise, governing this external data supply chain and making it easy for consumers to get at value-added data they need. Data virtualization software can also be used to create virtual data products that are published in a data marketplace, enabling teams across different domains to collaborate seamlessly and driving better decisions and insights.