KEYWORDS: Data integration, Data modeling, Associative arrays, Data processing, Data storage, Databases, Bismuth, System integration, Stars, Scientific research
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.
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