Beschreibung
Inhaltsangabeto 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.
Inhaltsverzeichnis
1. Introduction to Data Quality.- 2. Data Quality Dimensions.- 3. Models for Data Quality.- 4. Activities and Techniques for Data Quality-- 5. The Object Identification Process.- 6. Data Quality Issues in Data Intregration Systems.- 7. Methodologies for Data Quality Measurement and Improvement.- 8. Tools for Data Quality.- References.- Index.
Autorenporträt
Carlo Batini is full professor of Computer Engineering at University of Milano Bicocca. He has been associate professor since 1983 and full professor since 1986. His research interests include cooperative information systems, information systems and data base modeling and design, usability of information systems, data and information quality. From 1995 to 2003 he was a member of the board of directors of the Authority for Information Technology in public administration, where he headed several large scale projects for the modernization of public administration. Monica Scannapieco is a research associate at the Computer Engineering Department of the University of Roma La Sapienza. Her research interests are data quality issues, including data quality dimensions, measurement and improvement techniques, dynamics of data quality, record matching.
