Back to Search
Start Over
Benchmark for OLAP on NoSQL Technologies
- Source :
- Proceedings of RCIS 2015, 9th IEEE International Conference on Research Challenges in Information Science (IEEE RCIS 2015), 9th IEEE International Conference on Research Challenges in Information Science (IEEE RCIS 2015), May 2015, Athens, Greece. pp. 480-485, HAL
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
Abstract
- International audience; 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.
- Subjects :
- Théorie de l'information
OLAP
Recherche d'information
NoSQL
Decision support systems
Data Warehouses
Big data
MongoDB
HBase
[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]
[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]
H- INFORMATIQUE
Computer Science::Databases
Subjects
Details
- Language :
- French
- Database :
- OpenAIRE
- Journal :
- Proceedings of RCIS 2015, 9th IEEE International Conference on Research Challenges in Information Science (IEEE RCIS 2015), 9th IEEE International Conference on Research Challenges in Information Science (IEEE RCIS 2015), May 2015, Athens, Greece. pp. 480-485, HAL
- Accession number :
- edsair.dedup.wf.001..6f7e6bf870fb98d2fba16d1e7e62cad9