Article
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Implementing Federated Governance in Data Mesh Architecture
Version 1
: Received: 18 February 2024 / Approved: 19 February 2024 / Online: 19 February 2024 (11:19:34 CET)
A peer-reviewed article of this Preprint also exists.
Dolhopolov, A.; Castelltort, A.; Laurent, A. Implementing Federated Governance in Data Mesh Architecture. Future Internet 2024, 16, 115. Dolhopolov, A.; Castelltort, A.; Laurent, A. Implementing Federated Governance in Data Mesh Architecture. Future Internet 2024, 16, 115.
Abstract
Analytical data platform have been used for decades for improving the organizational performance. Starting from the data warehouses used primarily for structured data processing, through the data lakes oriented for raw data storage and post-hoc data analyses, to the data lakehouses − a combination of raw storage and business intelligence pre-processing for improving the platform efficacy. But in recent years a new architecture called Data Mesh has emerged. The main promise of this architecture is to remove the barriers between operational and analytical teams in order to boost the overall value extraction from the big data. A number of attempts has been made to formalise and to implement it in existing projects. Although being defined as a socio-technical paradigm, data mesh still lacks the technology support for enabling its widespread adoption. To overcome this limitation, we propose a new view of the platform requirements alongside the formal governance definition that we believe can help in successful adoption of the data mesh. It is based on fundamental aspects such as decentralized data domains and federated computational governance. In addition, we also present a blockchain-based implementation of a mesh platform as a practical validation to our theoretical proposal. Overall, this article demonstrates a novel research direction of the information system decentralization technologies.
Keywords
Decentralized Systems; Federated Governance; Metadata Management; Data Mesh; Blockchain
Subject
Computer Science and Mathematics, Information Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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