Distributed architecture framework for data management
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Data mesh is a sociotechnical approach to building a decentralized data architecture by leveraging a domain-oriented, self-serve design (in a software development perspective), and borrows Eric Evans’ theory of domain-driven design[1] and Manuel Pais’ and Matthew Skelton’s theory of team topologies.[2] Data mesh mainly concerns itself with the data itself, taking the data lake and the pipelines as a secondary concern. [3] The main proposition is scaling analytical data by domain-oriented decentralization.[4] With data mesh, the responsibility for analytical data is shifted from the central data team to the domain teams, supported by a data platform team that provides a domain-agnostic data platform.[5] This enables a decrease in data disorder or the existence of isolated data silos, due to the presence of a centralized system that ensures the consistent sharing of fundamental principles across various nodes within the data mesh and allows for the sharing of data across different areas.[6]
^Evans, Eric (2004). Domain-driven design : tackling complexity in the heart of software. Boston: Addison-Wesley. ISBN 0-321-12521-5. OCLC 52134890.
^Skelton, Matthew (2019). Team topologies : organizing business and technology teams for fast flow. Manuel Pais. Portland, OR. ISBN 978-1-942788-84-3. OCLC 1108538721.{{cite book}}: CS1 maint: location missing publisher (link)
^Machado, Inês Araújo; Costa, Carlos; Santos, Maribel Yasmina (2022-01-01). "Data Mesh: Concepts and Principles of a Paradigm Shift in Data Architectures". Procedia Computer Science. International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2021. 196: 263–271. doi:10.1016/j.procs.2021.12.013. hdl:1822/78127. ISSN 1877-0509. S2CID 245864612.
^Dehghani, Zhamak (2022). Data Mesh. Sebastopol, CA. ISBN 978-1-4920-9236-0. OCLC 1260236796.{{cite book}}: CS1 maint: location missing publisher (link)
^Machado, Inês Araújo; Costa, Carlos; Santos, Maribel Yasmina (2022-01-01). "Data Mesh: Concepts and Principles of a Paradigm Shift in Data Architectures". Procedia Computer Science. International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2021. 196: 263–271. doi:10.1016/j.procs.2021.12.013. hdl:1822/78127. ISSN 1877-0509.
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