logo SBA

ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-05052023-175029


Tipo di tesi
Tesi di laurea magistrale
Autore
CUCCHI, SAMUELE
URN
etd-05052023-175029
Titolo
Self Service Business Analytics and Path to Insight
Dipartimento
INFORMATICA
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Relatori
relatore Prof. Rinzivillo, Salvatore
Parole chiave
  • Data Mesh
  • Data Architectures
  • Data Science
  • Systems Engineering
Data inizio appello
26/05/2023
Consultabilità
Non consultabile
Data di rilascio
26/05/2093
Riassunto
The objective of this thesis is to establish the basis for the structuring and a first implementation (possibly with open source technologies) of a domain-driven approach for accessing and organizing corporate data. Specifically, the work focuses on researching and creating a marketplace that provides a series of functional tools for defining an architecture capable of supporting the creation, maintenance, and use of a Data Mesh-type data architecture. To support the work done, we provide an implementation of the studied architecture, taking into account the use case related to the company's internal data.
File