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;
2019-01-01

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
2019
978-989758372-8
Big Data Analytics; Data-Intensive Business Processes; OLAP-Based Big Data Analytics; Complex Architectures and Systems
File in questo prodotto:
File Dimensione Formato  
ICEIS2019_2.pdf

solo gestori archivio

Tipologia: Versione Editoriale (PDF)
Dimensione 1.16 MB
Formato Adobe PDF
1.16 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/361731
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact