Data Quality Concepts, Methodologies and Techniques /

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the Eu...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Batini, Carlo (Autor), Scannapieco, Monica (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Data-Centric Systems and Applications,
Temas:
Data structures (Computer science).
Information theory.
Database management.
Information storage and retrieval systems.
Business information services.
Application software.
Data Structures and Information Theory.
Database Management.
Information Storage and Retrieval.
IT in Business.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Data Quality
  • Data Quality Dimensions
  • Models for Data Quality
  • Activities and Techniques for Data Quality: Generalities
  • Object Identification
  • Data Quality Issues in Data Integration Systems
  • Methodologies for Data Quality Measurement and Improvement
  • Tools for Data Quality
  • Open Problems. .

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