Development Of A Self-Serve Data Mesh Infrastructure

In the context of contemporary business processes, data stands out as a crucial component containing critical information. Data management, on the other hand, is of great importance to ensure that businesses make decisions based on accurate, reliable, and accessible data by organizing the processes of collecting, storing, processing, and analyzing data. Data mesh is an architecture that enables large-scale data management in a decentralized structure through distributed data teams, making data more flexible, scalable, and accessible. Data mesh allows organizations to make data-driven decisions more quickly and efficiently. Self-Service Data Mesh (SSDM) is an architecture that offers a flexible and decentralized approach to data management, enabling seamless sharing and integration of data products, thereby accelerating data access and facilitating the development of efficient and scalable data solutions. This study aims to develop a self-serve data mesh infrastructure that will allow source teams producing data to share the workload of central data teams by assuming responsibility for the data they produce and enable anyone who wants to analyze data to perform data transformations flawlessly and sustainably without requiring expertise. In this context, the self-serve data mesh infrastructure has been developed using the Go programming language. With the developed infrastructure, the time to extract meaning from target data has been reduced.