In this paper, we provide architecture and functionalities of REMS.PA, a complex framework for supporting OLAP-based big data analytics over data-intensive business processes, with particular regards to business processes of the Public Administration. The framework has been designed and developed in the context of a real-life project. In addition to the anatomy of the framework, we describe some case studies that contribute to highlight the benefits coming from our proposed framework
REMS.PA: A complex framework for supporting OLAP-based big data analytics over data-intensive business processes / A. Cuzzocrea; S. Cavalieri; O. Tomarchio; G. Di Modica; C. Cantone; A. Di Bilio. - ELETTRONICO. - (2019), pp. 223-230. (Intervento presentato al convegno International Conference on Enterprise Information Systems (ICEIS 2019) tenutosi a Heraklion, Crete (Greece) nel May 3 2019) [10.5220/0007737002230230].
REMS.PA: A complex framework for supporting OLAP-based big data analytics over data-intensive business processes
G. Di Modica;
2019
Abstract
In this paper, we provide architecture and functionalities of REMS.PA, a complex framework for supporting OLAP-based big data analytics over data-intensive business processes, with particular regards to business processes of the Public Administration. The framework has been designed and developed in the context of a real-life project. In addition to the anatomy of the framework, we describe some case studies that contribute to highlight the benefits coming from our proposed frameworkI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
