Understanding the Semantic SQL Transducer
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866910521393938432 |
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| author | Abgrall, Théo Franconi, Enrico |
| author_facet | Abgrall, Théo Franconi, Enrico |
| contents | Nowadays we observe an evolving landscape of data management and analytics, emphasising the significance of meticulous data management practices, semantic modelling, and bridging business-technical divides, to optimise data utilisation and enhance value from datasets in modern data environments. In this paper we introduce and explain the basic formalisation of the Semantic SQL Transducer, a well-founded but practical tool providing the materialised lossless conceptual view of an arbitrary relational source data, contributing to a knowledge-centric data stack. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_07502 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Understanding the Semantic SQL Transducer Abgrall, Théo Franconi, Enrico Databases Nowadays we observe an evolving landscape of data management and analytics, emphasising the significance of meticulous data management practices, semantic modelling, and bridging business-technical divides, to optimise data utilisation and enhance value from datasets in modern data environments. In this paper we introduce and explain the basic formalisation of the Semantic SQL Transducer, a well-founded but practical tool providing the materialised lossless conceptual view of an arbitrary relational source data, contributing to a knowledge-centric data stack. |
| title | Understanding the Semantic SQL Transducer |
| topic | Databases |
| url | https://arxiv.org/abs/2407.07502 |