A Meshed Up Data Architecture Design

Abstract

Due to the increasing amount of data processed within organizations, these organizations are increasingly experiencing shortcomings in their current monolithic data architectures and their capacity to facilitate these data operations. The particular limitations cause an increasing demand for a data architecture design that can address these limitations. A distributed and domain-oriented Data Mesh architecture promises to address the limitations of current monolithic architectures in terms of scalability, improved data accessibility, shortened lead times between operations and analytics and improved appointments of ownership and responsibility for data. These improvements are promised, based on the design of a Data Mesh architecture that is built upon the following four principles: (1) domain-oriented decentralized data ownership, (2) data as a product, (3) self-serve data platform, and (4) federated computational governance. This research focuses on the assessment of organization readiness for the migration to a Data Mesh architecture...