Multi-Model Data Warehouse dataset

DOI

The dataset used in the paper: In Bimonte, S., Gallinucci, E., Marcel, P., Rizzi, S. Data Variety, Come As You Are in Multi-model Data Warehouses. Information Systems (to appear)

In Bimonte, S., Gallinucci, E., Marcel, P., Rizzi, S. Data Variety, Come As You Are in Multi-model Data Warehouses. Information Systems (to appear), we have introduced the new concept of Multi-Model Data Warehouse, which allows store data in their native model in a new star schema approach.

In this paper we have used, extended and adapted the Unibech dataset provided in https://github.com/HY-UDBMS/UniBench_new for Data Warehouse.

The dataset is a DUMP file for PostgreSQL.

Identifier
DOI https://doi.org/10.15454/XWB6RL
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/XWB6RL
Provenance
Creator Bimonte, Sandro; Rizzi, Stefano; Gallinucci, Enrico; Marcel, Patrick
Publisher Recherche Data Gouv
Contributor Bimonte, Sandro
Publication Year 2021
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Bimonte, Sandro (INRA - Institut National de la Recherche Agronomique)
Representation
Resource Type Dataset
Format application/x-rar-compressed
Size 689787922
Version 2.0
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences