Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches
Data mesh is a socio-technical approach to decentralized analytics data management. To manage this decentralization efficiently, data mesh relies on automation provided by a self-service data infrastructure platform. A key aspect of this platform is to enable decentralized data governance. Because d...
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| creator | Wider, Arif Verma, Sumedha Akhtar, Atif |
| description | Data mesh is a socio-technical approach to decentralized analytics data
management. To manage this decentralization efficiently, data mesh relies on
automation provided by a self-service data infrastructure platform. A key
aspect of this platform is to enable decentralized data governance. Because
data mesh is a young approach, there is a lack of coherence in how data mesh
concepts are interpreted in the industry, and almost no work on how a data mesh
platform facilitates governance. This paper presents a conceptual model of key
data mesh concepts and discusses different approaches to drive governance
through platform means. The insights presented are drawn from concrete
experiences of implementing a fully-functional data mesh platform that can be
used as a reference on how to approach data mesh platform development. |
| doi_str_mv | 10.48550/arxiv.2307.02357 |
| format | Article |
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management. To manage this decentralization efficiently, data mesh relies on
automation provided by a self-service data infrastructure platform. A key
aspect of this platform is to enable decentralized data governance. Because
data mesh is a young approach, there is a lack of coherence in how data mesh
concepts are interpreted in the industry, and almost no work on how a data mesh
platform facilitates governance. This paper presents a conceptual model of key
data mesh concepts and discusses different approaches to drive governance
through platform means. The insights presented are drawn from concrete
experiences of implementing a fully-functional data mesh platform that can be
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automation provided by a self-service data infrastructure platform. A key
aspect of this platform is to enable decentralized data governance. Because
data mesh is a young approach, there is a lack of coherence in how data mesh
concepts are interpreted in the industry, and almost no work on how a data mesh
platform facilitates governance. This paper presents a conceptual model of key
data mesh concepts and discusses different approaches to drive governance
through platform means. The insights presented are drawn from concrete
experiences of implementing a fully-functional data mesh platform that can be
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management. To manage this decentralization efficiently, data mesh relies on
automation provided by a self-service data infrastructure platform. A key
aspect of this platform is to enable decentralized data governance. Because
data mesh is a young approach, there is a lack of coherence in how data mesh
concepts are interpreted in the industry, and almost no work on how a data mesh
platform facilitates governance. This paper presents a conceptual model of key
data mesh concepts and discusses different approaches to drive governance
through platform means. The insights presented are drawn from concrete
experiences of implementing a fully-functional data mesh platform that can be
used as a reference on how to approach data mesh platform development.</abstract><doi>10.48550/arxiv.2307.02357</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Artificial Intelligence Computer Science - Databases Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning |
| title | Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches |
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