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.
2024
Big Data
Big Data Analytics
Big Data As a Service
Big Data Management
Open Big Data
Serendipitous Big Data Methodologies
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/378785
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