ProMoTe: A Data Product Model Template for Data Meshes

Stefan Driessen*, Willem Jan van den Heuvel, Geert Monsieur

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

As the shortcomings of monolithic data platforms such as data lakes are quickly becoming more grave and evident, many organisations are struggling to transition to data meshes, making data available for consumption in a decentralised manner. However, the emerging data mesh paradigm fails to provide sufficient (modelling) support to effectively create, manage, and describe data products, the architectural quanta of a data mesh. In this work, we introduce the data Product Model Template (ProMoTe): a formal meta-model of data products that is fully aligned with a data mesh. ProMoTe was devised, explored and partially validated based on industry requirements in tandem with academic literature and is currently being used by a major Dutch Telecom company to enable their data mesh transition.

Original languageEnglish
Title of host publicationConceptual Modeling - 42nd International Conference, ER 2023, Proceedings
EditorsJoão Paulo A. Almeida, José Borbinha, Giancarlo Guizzardi, Sebastian Link, Jelena Zdravkovic
PublisherSpringer Science and Business Media Deutschland GmbH
Pages125-142
Number of pages18
ISBN (Print)9783031472619
DOIs
Publication statusPublished - 2023
Event42nd International Conference on Conceptual Modeling, ER 2023 - Lisbon, Portugal
Duration: 6 Nov 20239 Nov 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14320 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference42nd International Conference on Conceptual Modeling, ER 2023
Country/TerritoryPortugal
CityLisbon
Period6/11/239/11/23

Keywords

  • Data Mesh
  • Data Product
  • Industry Report
  • Modelling

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