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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Although they can be extended to external data markets or data spaces [12].
- 2.
- 3.
- 4.
- 5.
and consequently, for describing such data products.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
- 12.
- 13.
- 14.
References
Beck, K., Beedle, M., Bennekum, A.V., Cockburn, A.: The agile manifesto (2001). https://www.agilealliance.org/wp-content/uploads/2019/09/agile-manifesto-download-2019.pdf
Dehghani, Z.: Data Mesh: Delivering Data-Driven Value at Scale, 1st edn. O’Reilly (2022)
Driessen, S., Monsieur, G., van den Heuvel, W.J.: Data product metadata management: an industrial perspective (2022)
Driessen, S., Monsieur, G., Heuvel, W.V.D.: Data market design: a systematic literature review. IEEE Access 10, 1 (2022). https://doi.org/10.1109/access.2022.3161478
Eichler, R., Gröger, C., Hoos, E., Schwarz, H., Mitschang, B.: From data asset to data product - the role of the data provider in the enterprise data marketplace. In: Barzen, J., Leymann, F., Dustdar, S. (eds.) Service-Oriented Computing, SummerSOC 2022. Communications in Computer and Information Science, vol. 1603, pp. 119–138. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-18304-1_7
Goedegebuure, A., et al.: Data mesh: a systematic gray literature review (2023)
Hooshmand, Y., Resch, J., Wischnewski, P., Patil, P.: From a monolithic PLM landscape to a federated domain and data mesh, pp. 713–722 (2022)
Kennedy, J., Subramaniam, P., Galhotra, S., Fernandez, R.C.: Revisiting online data markets in 2022. ACM SIGMOD Rec. 51, 30–37 (2022). https://doi.org/10.1145/3572751.3572757
Loukiala, A., Joutsenlahti, J.-P., Raatikainen, M., Mikkonen, T., Lehtonen, T.: Migrating from a centralized data warehouse to a decentralized data platform architecture. In: Ardito, L., Jedlitschka, A., Morisio, M., Torchiano, M. (eds.) PROFES 2021. LNCS, vol. 13126, pp. 36–48. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91452-3_3
Machado, I.A., Costa, C., Santos, M.Y.: Data mesh: concepts and principles of a paradigm shift in data architectures, vol. 196, pp. 263–271. Elsevier B.V. (2021). https://doi.org/10.1016/j.procs.2021.12.013
Olson, J.A.: Data as a service: are we in the clouds? J. Map Geography Libr. 6, 76–78 (2009). https://doi.org/10.1080/15420350903432739
Otto, B., Steinbuß, S., Teuscher, A., Lohmann, S.: IDSA reference architecture model. International Data Spaces Association (2019). https://internationaldataspaces.org/download/16630/
Ozyilmaz, K.R., Dogan, M., Yurdakul, A.: IDMoB: IoT data marketplace on blockchain. In: Proceedings - 2018 Crypto Valley Conference on Blockchain Technology, CVCBT 2018, pp. 11–19 (2018). https://doi.org/10.1109/CVCBT.2018.00007
Pillmann, J., Sliwa, B., Schmutzler, J., Ide, C., Wietfeld, C.: Car-to-cloud communication traffic analysis based on the common vehicle information model, pp. 1–5 (2018)
Sakr, M.: A data model and algorithms for a spatial data marketplace. Int. J. Geograph. Inf. Sci. 32, 2140–2168 (2018). https://doi.org/10.1080/13658816.2018.1484124
Shakeri, S., et al.: Modeling and matching digital data marketplace policies. In: Proceedings - IEEE 15th International Conference on eScience, eScience 2019, pp. 570–577 (2019). https://doi.org/10.1109/eScience.2019.00078
Spiekermann, M., Tebernum, D., Wenzel, S., Otto, B.: A metadata model for data goods. In: MKWI 2018 - Multikonferenz Wirtschaftsinformatik 2018-March, pp. 326–337 (2018)
Sánchez, L., et al.: Federation of internet of things testbeds for the realization of a semantically-enabled multi-domain data marketplace. Sensors (Switzerland) 18, 3375 (2018). https://doi.org/10.3390/s18103375, https://www.mdpi.com/1424-8220/18/10/3375
(Thoughtworks), Z.D.: How to move beyond a monothilitic data lake to a distributed data mesh (2019). https://martinfowler.com/articles/data-monolith-to-mesh.html
Vu, Q.H., Pham, T.V., Truong, H.L., Dustdar, S., Asal, R.: DEMODS: a description model for data-as-a-service. In: Proceedings - International Conference on Advanced Information Networking and Applications, AINA, pp. 605–612 (2012). https://doi.org/10.1109/AINA.2012.91
Yuan, J., Li, H.: Research on the standardization model of data semantics in the knowledge graph construction of oil & gas industry. Comput. Stand. Interfaces 84, 103705 (2023). https://doi.org/10.1016/J.CSI.2022.103705
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Driessen, S., den Heuvel, WJ.v., Monsieur, G. (2023). ProMoTe: A Data Product Model Template for Data Meshes. In: Almeida, J.P.A., Borbinha, J., Guizzardi, G., Link, S., Zdravkovic, J. (eds) Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14320. Springer, Cham. https://doi.org/10.1007/978-3-031-47262-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-47262-6_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-47261-9
Online ISBN: 978-3-031-47262-6
eBook Packages: Computer ScienceComputer Science (R0)