To Each His Own: Accommodating Data Variety by a Multimodel Star Schema

Autor: Bimonte, Sandro, Hifdi, Yassine, Maliari, Mohammed, Marcel, Patrick, Rizzi, Stefano

Publikováno v: Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020)
Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020), Mar 2020, Copenhagen, Denmark

International audience; Recent approaches adopt multimodel databases (MMDBs) to natively handle the variety issues arising from the increasing amounts of heterogeneous data (structured, semi-structured, graph-based, etc.) made available. However, whe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4ea0284e4f519f8d2720a8b10e40fb2b
https://hal.archives-ouvertes.fr/hal-03009808