Parallel data cube construction for high performance on-line analytical processing

Sanjay Goil*, Alok Nidhi Choudhary

*Corresponding author for this work

Research output: Contribution to conferencePaper

5 Scopus citations

Abstract

Decision support systems use On-Line Analytical Processing (OLAP) to analyze data by posing complex queries that require different views of data. Traditionally, a relational approach (ROLAP) has been taken to build such systems. More recently, multi-dimensional database techniques (MOLAP) have been applied to decision-support applications. Data is stored in multidimensional arrays which is a natural way to express the multi-dimensionality of the enterprise and is more suited for analysis. Precomputed aggregate calculations in a Data cube can provide efficient query processing for OLAP applications. In this paper we present algorithms and results for in-memory data cube construction on distributed memory machines.

Original languageEnglish (US)
Pages10-15
Number of pages6
StatePublished - Dec 1 1997
EventProceedings of the 1997 4th International Conference on High Performance Computing, HiPC - Bangalore, India
Duration: Dec 18 1997Dec 21 1997

Other

OtherProceedings of the 1997 4th International Conference on High Performance Computing, HiPC
CityBangalore, India
Period12/18/9712/21/97

ASJC Scopus subject areas

  • Computer Science(all)

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    Goil, S., & Choudhary, A. N. (1997). Parallel data cube construction for high performance on-line analytical processing. 10-15. Paper presented at Proceedings of the 1997 4th International Conference on High Performance Computing, HiPC, Bangalore, India, .