Cargando…
A non-intrusive and reactive architecture to support real-time ETL processes in data warehousing environments
Nowadays, organizations are very interested to gather data for strategic decision-making. Data are disposable in operational sources, which are distributed, heterogeneous, and autonomous. These data are gathered through ETL processes, which occur traditionally in a pre-defined time, that is, once a...
Autores principales: | de Assis Vilela, Flávio, Times, Valéria Cesário, de Campos Bernardi, Alberto Carlos, de Paula Freitas, Augusto, Ciferri, Ricardo Rodrigues |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196447/ https://www.ncbi.nlm.nih.gov/pubmed/37215774 http://dx.doi.org/10.1016/j.heliyon.2023.e15728 |
Ejemplares similares
-
Data warehousing: architecture and implementation
por: Humphries, Mark, et al.
Publicado: (1999) -
Hands-on data warehousing with Azure Data Factory: ETL techniques to load and transform data from various sources, both on-premises and on cloud
por: Coté, Christian, et al.
Publicado: (2018) -
DW 2: the architecture for the next generation of data warehousing
por: Inmon, William H, et al.
Publicado: (2008) -
ETL with Azure Cookbook
por: Cote, Christian, et al.
Publicado: (2020) -
Oracle data warehousing /
por: Corey, Michael J.
Publicado: (1997)