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. © 2014 IEEE.
A cloud-based framework for supporting effective and efficient OLAP in big data environments
Cuzzocrea A;
2014
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. © 2014 IEEE.File in questo prodotto:
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