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EnglishInspired 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.
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| Titolo: | A cloud-based framework for supporting effective and efficient OLAP in big data environments | |
| Autori: | ||
| Data di pubblicazione: | 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. | |
| Handle: | http://hdl.handle.net/20.500.11770/312705 | |
| ISBN: | 9781479927838 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/20.500.11770/312705
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