Review on Data Mesh Architecture and its Impact

Abstract

Data Mesh is a decentralized approach to data management that has gained significant attention in recent years. This review paper provides an in-depth analysis of Data Mesh and its architecture, focusing on its principles, components, and implications. The paper begins by introducing the concept of Data Mesh and its departure from traditional centralized data management approaches. It then explores the key principles of Data Mesh, including domain-oriented decentralized ownership, self-serve data infrastructure. The architecture of Data Mesh is dissected, discussing the various components such as data domains, data products, data infrastructure. The proliferation of data within organizations has led to a growing need for scalable, flexible, and efficient data management solutions. Traditional centralized approaches often struggle to keep pace with the increasing volume, variety, and velocity of data. In response to these challenges, the concept of Data Mesh has emerged as a promising paradigm for organizing and scaling data infrastructure. This paper provides a comprehensive review of Data Mesh and its architecture, highlighting its key principles, components, and implications for modern data management.