Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/37418
Título: | Modeling ETL data quality enforcement tasks using relational algebra operators |
Autor(es): | Santos, Vasco Belo, O. |
Palavras-chave: | Data Warehousing Systems ETL modeling Data Quality Enforcement Relational Algebra |
Data: | 23-Out-2013 |
Editora: | Elsevier 1 |
Revista: | Procedia Technology |
Resumo(s): | Usually, a data warehouse is refreshed periodically with data gathered from disparate source systems. Nevertheless this data might not be fully accurate, probably containing serious data quality problems, such as uniqueness, misrepresentations, null values, multi-purpose fields, or inconsistent values, for one or more attributes. This is a major contribution to the falling expectations users have on data analyzed from data warehouses. Data quality enforcement is a complex time consuming task that parses data from source tables and corrects it, normalizes it and integrates it into a data warehouse for a better representation of real businesses. In this paper, we analyze some of the common tasks that are associated with data quality enforcement, representing and modeling them using Relational Algebra as specification tool. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/37418 |
DOI: | 10.1016/j.protcy.2013.12.049 |
ISSN: | 2212-0173 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2013-CI-Centeris-Santos&Belo-CRP.pdf Acesso restrito! | Artigo completo publicado | 424,15 kB | Adobe PDF | Ver/Abrir |