Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90748
Título: | A service-oriented framework for ETL implementation |
Autor(es): | Oliveira, Bruno Leite, Mario Oliveira, Oscar Belo, Orlando |
Palavras-chave: | Analytical systems ETL patterns Service-oriented approach ETL as a service |
Data: | 2022 |
Editora: | Springer, Cham |
Revista: | Lecture Notes in Artificial Intelligence (subseries of Lecture Notes in Computer Science) |
Citação: | Oliveira, B., Leite, M., Oliveira, Ó., Belo, O. (2022). A Service-Oriented Framework for ETL Implementation. In: Marreiros, G., Martins, B., Paiva, A., Ribeiro, B., Sardinha, A. (eds) Progress in Artificial Intelligence. EPIA 2022. Lecture Notes in Computer Science(), vol 13566. Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_52 |
Resumo(s): | The development of analytical systems imposes several challenges related not only to the amount and heterogeneity of the involved data but also to the constant need to readapt and evolve to overcome new business challenges. The data modelling layer represents the mapping between the domain and technical knowledge, however, to organize raw data into a form that can be used for analytics, specific Extract, Transform and Load (ETL) processes should be applied. ETL systems are recognized as a critical and tightly coupled system component that encapsulates data-level requirements that are hard to implement and maintain. In a Big Data era, adaptability and extensibility are important characteristics to hold when developing analytical systems. Thus, to provide more consistent, reliable, flexible, and reusable ETL processes, a service-oriented implementation for ETL development is proposed. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90748 |
ISBN: | 978-3-031-16473-6 |
e-ISBN: | 978-3-031-16474-3 |
DOI: | 10.1007/978-3-031-16474-3_52 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-16474-3_52 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2022-EPIA-KDBI-OliveiraEtAl-CRP.pdf Acesso restrito! | 230,2 kB | Adobe PDF | Ver/Abrir |