Bibtex de la publication

@InProceedings{ Ch2015.8,
author = {Chevalier, Max and El Malki, Mohammed and Kopliku, Arlind and Teste, Olivier and Tournier, Ronan},
title = "{Benchmark for OLAP on NoSQL Technologies (short paper)}",
booktitle = "{IEEE International Conference on Research Challenges in Information Science (IEEE RCIS), Athens, Greece, 13/05/2015-15/05/2015}",
year = {2015},
publisher = {IEEE},
address = {http://www.ieee.org/},
pages = {480--485},
language = {anglais},
URL = {http://www.irit.fr/publis/SIG/2015_RCIS_CEKTT.pdf - http://oatao.univ-toulouse.fr/15291/},
keywords = {big data, NoSQL, HBase, MongoDB, decision support systems, OLAP, Data Warehouses},
abstract = {The plethora of data warehouse solutions has created a need comparing these solutions using experimental benchmarks. Existing benchmarks rely mostly on the relational data model and do not take into account other models. In this paper, we propose an extension to a popular benchmark (the Star Schema Benchmark or SSB) that considers non-relational NoSQL models. To avoid data post-processing required for using this data with NoSQL systems, the data is generated in different formats. To exploit at best horizontal scaling, data can be produced in a distributed file system, hence removing disk or partition sizes as limit for the generated dataset. Experimental work proves improved performance of our new benchmark.}
}