Enhancing data interoperability in multi-cloud environments
Niyonshuti, Valentin (A.A. 2023/2024) Enhancing data interoperability in multi-cloud environments. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 71. [Master's Degree Thesis]
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Abstract/Index
Literature review. Data interoperability concepts. Multi-cloud strategy overview. Data mesh architecture. Data interoperability within the context of data mesh. Personas in data mesh framework. Challenges in data interoperability in multi-cloud environments. Existing solutions and best practices. Theoretical framework. Recent developments in multi-cloud strategies and data mesh. Counter arguments and critiques. Methodology. Research approach. Data collection methods. Case study selection and rationale. Data analysis techniques. Company overview-ENI S.p.a. Introduction to ENI S.p.a. ENI's data infrastructure and cloud strategy. Challenges faced by ENI S.p.a. in data interoperability. ENI's approach to addressing data interoperability challenges. Case study analysis. Data interoperability in multi-cloud environment. Evaluation of ENI's multi-cloud strategy. Lessons learned and best practices identified. Comparative analysis with industry benchmarks. Analysis of data interoperability challenges. Impact of multi-cloud strategy on data management practices. Insights from ENI S.p.a.'s experience. Impact of data interoperability on data mesh personas. Strategies for enhancing data interoperability in multi-cloud environments. Organizational implications for ENI S.p.a.
References
Bibliografia: pp. 67-71.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Thesis Co-Supervisor: | Sinaimeri, Blerina |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 07 Jan 2025 15:28 |
| Last Modified: | 07 Jan 2025 15:28 |
| URI: | https://tesi.luiss.it/id/eprint/40761 |
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