OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data

Springer Berlin / Heidelberg
Publication Type:
Conference Proceeding
Lecture Notes in Computer Science, 2013, 8216 (1), pp. 38 - 49 (12)
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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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