This paper describes the anatomy of SeDaSOMA, a reference framework for supporting serendipitous, data-as-a-service-oriented, open big data management and analytics. The proposed framework aims at supporting advanced big data management and analytics by relying on innovative research findings and next-generation big data tools. The paper also depicts some Cloud-aware big data vertical applications of SeDaSOMA in specific scenarios that are currently of great interest.
Serendipitous, Open Big Data Management and Analytics: The SeDaSOMA Framework
Cuzzocrea, Alfredo
;Ciancarini, Paolo
2024-01-01
Abstract
This paper describes the anatomy of SeDaSOMA, a reference framework for supporting serendipitous, data-as-a-service-oriented, open big data management and analytics. The proposed framework aims at supporting advanced big data management and analytics by relying on innovative research findings and next-generation big data tools. The paper also depicts some Cloud-aware big data vertical applications of SeDaSOMA in specific scenarios that are currently of great interest.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.