This paper shows the solutions developed in the Project "Sistema Innovativo Big Data Analytics" named SIBDA (The needs of the three involved companies are described, which led to define an overall framework in the field of Big Data through application cases. The functional and technological requirements of an integrated Big Data Architecture are given. In particular, the criteria for selecting the solutions for Document Management for one company (Microdata Service) are described. The resulting Enterprise Content Management (ECM) system architecture and the overall system architecture are given. SIBDA stands for Sistema Innovativo Big Data Analytics, a project funded by Regione Lombardia within "Accordi di Competitività", involving three ICT companies (Mail Up s.p.a, Microdata Service and LineaCom), belonging to the CRIT Consortium, Cremona, and Politecnico di Milano.

Innovative Big Data Analytics: A System for Document Management

Mariagrazia Fugini;Jacopo Finocchi
2018-01-01

Abstract

This paper shows the solutions developed in the Project "Sistema Innovativo Big Data Analytics" named SIBDA (The needs of the three involved companies are described, which led to define an overall framework in the field of Big Data through application cases. The functional and technological requirements of an integrated Big Data Architecture are given. In particular, the criteria for selecting the solutions for Document Management for one company (Microdata Service) are described. The resulting Enterprise Content Management (ECM) system architecture and the overall system architecture are given. SIBDA stands for Sistema Innovativo Big Data Analytics, a project funded by Regione Lombardia within "Accordi di Competitività", involving three ICT companies (Mail Up s.p.a, Microdata Service and LineaCom), belonging to the CRIT Consortium, Cremona, and Politecnico di Milano.
Proc. 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
978-1-5386-6916-7
Big Data, content management, data analysis, document handling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1070576
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