Data Quality Concepts, Methodologies and Techniques /

• Main Authors: Batini, Carlo (Author), Scannapieca, Monica (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Series: Data-Centric Systems and Applications
• Subjects: Computer science.; Information technology.; Business > Data processing.; Data structures (Computer science).; Database management.; Information storage and retrieval.; Computer Science.; Data Structures, Cryptology and Information Theory.; Database Management.; Information Storage and Retrieval.; IT in Business.; Information Systems Applications (incl. Internet).

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Table of Contents:

• 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. .