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

被引：2
|
作者：
Cuzzocrea, Alfredo [1 ]
Cavalieri, Salvatore [2 ]
Tomarchio, Orazio [2 ]
Di Modica, Giuseppe [2 ]
Cantone, Concetta [3 ]
Di Bilio, Angela [3 ]
机构：
[1] Univ Trieste, DIA Dept, Trieste, Italy
[2] Univ Catania, DIEEI Dept, Catania, Italy
[3] Xenia Software Solut, Catania, Italy
来源：
PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1 | 2019年
关键词：
Big Data Analytics; Data-intensive Business Processes; OLAP-based Big Data Analytics and Complex Architectures and Systems;
D O I：
10.5220/0007737002230230
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：223 / 230
页数：8
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