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

S. Cavalieri;O. Tomarchio;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 framework
978-989758372-8
Big Data Analytics; Data-Intensive Business Processes; OLAP-Based Big Data Analytics; Complex Architectures and Systems
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11769/361731
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