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Identifying Alternatives and Deciding Factors for a Data Mesh Architecture

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dc.contributor.authorVoß, Clara
dc.contributor.editorGesellschaft für Informatik e.V.
dc.date.accessioned2023-02-21T09:39:21Z
dc.date.available2023-02-21T09:39:21Z
dc.date.issued2022
dc.description.abstractThe data mesh was introduced in 2019 as a new type of data architecture. It promises a more democratic and scalable way of data production and consumption, while also solving data engineering problems of siloed and hyper-specialized data engineering knowledge, a growing number of dependencies within data pipelines, and the rigidness of centralized monoliths. This paper used expert interviews to identify the most significant current alternatives to the data mesh and abstract factors, with which companies can evaluate whether a data mesh can further their move to a data-driven, democratized future. The results show that the motivation, company culture, company structure, IT history and IT structure should be evaluated before implementing a data mesh. This paper is based on a bachelor thesis.en
dc.identifier.isbn978-3-88579-752-4
dc.identifier.pissn1614-3213
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40242
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofSKILL 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Seminars, Volume S-18
dc.subjectdata mesh
dc.subjectdata architectures
dc.subjectdata integration
dc.subjectexpert interviews
dc.titleIdentifying Alternatives and Deciding Factors for a Data Mesh Architectureen
gi.citation.endPage99
gi.citation.startPage93
gi.conference.date29.-30. September 2022
gi.conference.locationHamburg
gi.conference.sessiontitleShort Papers

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