Now showing items 1-6 of 6
Automatic generation of ETL processes from conceptual models
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 ...
ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
BACKGROUND: A data warehouse (DW) is an integrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, ...
Measures for ETL processes models in data warehouses
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 ...
Systematic review and comparison of modeling ETL processes in data warehouse
Abstract: In a Data Warehouse (DW), ETL processes (Extraction, Transformation, Load) are responsible for extracting, transforming and loading data from the data sources into the DW. A good design of these processes in the ...
Modelling ETL processes of data warehouses with UML activity diagrams
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. ...
A family of experiments to validate measures for UML activity diagrams of ETL processes in data warehouses
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 ...