Tesi etd-02032026-170727 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
PILATI, FILIPPO
URN
etd-02032026-170727
Titolo
Modernization of an Enterprise Data Platform through the Data Mesh Paradigm
Dipartimento
INFORMATICA
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Relatori
relatore Pierotti, Mariarita
Parole chiave
- architecture
- data
- data domain modelling
- data mesh
- data platform
- data product
- data warehouse
- management control
- utility company
Data inizio appello
27/02/2026
Consultabilità
Non consultabile
Data di rilascio
27/02/2096
Riassunto (Inglese)
Riassunto (Italiano)
This thesis explores the migration of a traditional management control Data Warehouse
towards a modern distributed Data Platform aligned with the Data Mesh paradigm.
The work has two main objectives: (i) to analyze the theoretical principles behind Data
Mesh, such as domain ownership, data as a product, self-serve data infrastructure, and federated governance; and (ii) to evaluate their applicability in an enterprise context in the utilities sector (energy and waste management).
The project was carried out within a real industrial setting, in collaboration with a multinational utility company, and focuses on the modernization of the Controlling (Management Control) platform. The thesis discusses the current architecture, its limitations, the proposed target architecture, implementation activities, and organizational implications.
The contribution of this work is both technical and organizational: it describes data domain modelling, data product design and pipeline implementation, and assesses the expected benefits and challenges of adopting a Data Mesh approach in practice.
towards a modern distributed Data Platform aligned with the Data Mesh paradigm.
The work has two main objectives: (i) to analyze the theoretical principles behind Data
Mesh, such as domain ownership, data as a product, self-serve data infrastructure, and federated governance; and (ii) to evaluate their applicability in an enterprise context in the utilities sector (energy and waste management).
The project was carried out within a real industrial setting, in collaboration with a multinational utility company, and focuses on the modernization of the Controlling (Management Control) platform. The thesis discusses the current architecture, its limitations, the proposed target architecture, implementation activities, and organizational implications.
The contribution of this work is both technical and organizational: it describes data domain modelling, data product design and pipeline implementation, and assesses the expected benefits and challenges of adopting a Data Mesh approach in practice.
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