In the digital age, data is crucial for organizations to gain a competitive edge. Data Mesh is an emerging approach that decentralizes data ownership and governance, enabling business units to take control of their data. This article explores the basics of Data Mesh, its key principles, and how it can benefit organizations. It also discusses the challenges and criticisms associated with its implementation. Additionally, it outlines the structure, approach, and main tasks involved in implementing Data Mesh, and provides a list of software tools for managing metadata in a Data Mesh framework. Finally, it addresses the question of whether Data Mesh would be a good approach for a data science team, and showcases use cases of Data Mesh in various industries.