Data warehouses (DW) integrate different data sources in order to give a multidimensional view of them to the decision-maker. To this aim, the ETL (Extraction, Transformation and Load) processes are responsible for extracting ...

processes take charge of extracting the data from data sources that would be contained in the data warehouse. Due to their relevance, the quality of these processes should be formally assessed since the early stages of ...

Extraction-transformation-loading (ETL) processes play an important role in a data warehouse (DW) architecture because they are responsible of integrating data from heterogeneous data sources into the DW repository. ...

In data warehousing, ETL (Extract, Transform, and Load) processes are in charge of extracting the data from data sources that will be contained in the data warehouse. Due to their relevance, the quality of these processes ...

In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone ...

The information domain is seen as a competitive differential in the most varied business areas, such as health, agribusiness, telecommunications, logistics, and government agencies. The correct and updated information is ...