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.
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Cuzzocrea, A., Moussa, R., Xu, G. (2013). OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data. In: Cuzzocrea, A., Maabout, S. (eds) Model and Data Engineering. MEDI 2013. Lecture Notes in Computer Science, vol 8216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41366-7_4
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DOI: https://doi.org/10.1007/978-3-642-41366-7_4
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