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

Publisher:
Springer Berlin / Heidelberg
Publication Type:
Conference Proceeding
Citation:
Lecture Notes in Computer Science, 2013, 8216 (1), pp. 38 - 49 (12)
Issue Date:
2013-01
Full metadata record
Files in This Item:
Filename Description Size
2013002747OK.pdf364.37 kB
Adobe PDF
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
Please use this identifier to cite or link to this item: