A new approach for integrating data into big data warehouse

Intissar Hilali; Nouha Arfaoui; Ridha Ejbali

doi:10.1117/12.2623069

4 March 2022 A new approach for integrating data into big data warehouse

Intissar Hilali, Nouha Arfaoui, Ridha Ejbali

Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021); 120841M (2022) https://doi.org/10.1117/12.2623069
Event: Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy

Abstract

ETL process is responsible of the integration of data into the data warehouse. It is about extracting data from different sources, transforming it to deliver quality data of value for analysis, and loading it into the warehouse. In this context, we propose a new approach called Mapping-ELT (M-ELT) is suggested to deal with ELT basic operations and take into account the semantic heterogeneity. In order to accelerate data handling, the Hive is used to improve data warehousing capabilities and Ontology as a solution to treat the problems of semantic heterogeneity. Experimental results confirm that the ELT operation works well, particularly with adapted operations.

Citation Download Citation

Intissar Hilali, Nouha Arfaoui, and Ridha Ejbali "A new approach for integrating data into big data warehouse", Proc. SPIE 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 120841M (4 March 2022); https://doi.org/10.1117/12.2623069

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