REMS.PA: A Complex Framework for Supporting OLAP-based Big Data Analytics over Data-intensive Business Processes

Alfredo Cuzzocrea, Salvatore Cavalieri, Orazio Tomarchio, Giuseppe Di Modica, Concetta Cantone, Angela Di Bilio

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.

Paper Citation

in Harvard Style

Cuzzocrea A., Cavalieri S., Tomarchio O., Di Modica G., Cantone C. and Di Bilio A. (2019). REMS.PA: A Complex Framework for Supporting OLAP-based Big Data Analytics over Data-intensive Business Processes.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 223-230. DOI: 10.5220/0007737002230230

in Bibtex Style

@conference{iceis19,
author={Alfredo Cuzzocrea and Salvatore Cavalieri and Orazio Tomarchio and Giuseppe Di Modica and Concetta Cantone and Angela Di Bilio},
title={REMS.PA: A Complex Framework for Supporting OLAP-based Big Data Analytics over Data-intensive Business Processes},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={223-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007737002230230},
isbn={978-989-758-372-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - REMS.PA: A Complex Framework for Supporting OLAP-based Big Data Analytics over Data-intensive Business Processes
SN - 978-989-758-372-8
AU - Cuzzocrea A.
AU - Cavalieri S.
AU - Tomarchio O.
AU - Di Modica G.
AU - Cantone C.
AU - Di Bilio A.
PY - 2019
SP - 223
EP - 230
DO - 10.5220/0007737002230230