Inspired by the emerging Big Data challenge, in this paper we provide the description of OLAP*, a Cloud-based framework for supporting effective and efficient OLAP in Big Data environments. OLAP* combines data warehouse partitioning techniques with Cloud Computing paradigms, and provides a suitable implementation on top of the well-known ROLAP server Mondrian where the main task consists in applying meaningful transformation of multidimensional database schemas. We complement our analytical contribution by mean of a case study showing the effectiveness of our framework in a practical setting.
A cloud-based framework for supporting effective and efficient OLAP in big data environments / Cuzzocrea, Alfredo Massimiliano; Moussa, Rim. - STAMPA. - (2014), pp. 680-684. ( 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2014 Chicago, IL, USA May 26-29, 2014) [10.1109/CCGrid.2014.129].
A cloud-based framework for supporting effective and efficient OLAP in big data environments
CUZZOCREA, Alfredo Massimiliano;
2014-01-01
Abstract
Inspired by the emerging Big Data challenge, in this paper we provide the description of OLAP*, a Cloud-based framework for supporting effective and efficient OLAP in Big Data environments. OLAP* combines data warehouse partitioning techniques with Cloud Computing paradigms, and provides a suitable implementation on top of the well-known ROLAP server Mondrian where the main task consists in applying meaningful transformation of multidimensional database schemas. We complement our analytical contribution by mean of a case study showing the effectiveness of our framework in a practical setting.Pubblicazioni consigliate
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