Abstract
In this paper, we investigate solutions relying on data partitioning schemes for parallel building of OLAP data cubes, suitable to novel Big Data environments, and we propose the framework OLAP*, along with the associated benchmark TPC-H*d, a suitable transformation of the well-known data warehouse benchmark TPC-H. We demonstrate through performance measurements the efficiency of the proposed framework, developed on top of the ROLAP server Mondrian. Copyright © 2013 Springer-Verlag Berlin Heidelberg.
Original language | English |
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Title of host publication | Model and data engineering: Third International Conference, MEDI 2013, Amantea, Italy, September 25-27, 2013 proceedings |
Editors | Alfredo CUZZOCREA, Sofian MAABOUT |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 38-49 |
ISBN (Electronic) | 9783642413667 |
ISBN (Print) | 9783642413650 |
DOIs | |
Publication status | Published - 2013 |