Data and Information Quality: Dimensions, Principles and Techniques

Author:   Carlo Batini ,  Monica Scannapieco
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319241043


Pages:   500
Publication Date:   13 June 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Data and Information Quality: Dimensions, Principles and Techniques


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Full Product Details

Author:   Carlo Batini ,  Monica Scannapieco
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.90cm , Length: 23.50cm
Weight:   9.162kg
ISBN:  

9783319241043


ISBN 10:   3319241044
Pages:   500
Publication Date:   13 June 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

This book addresses the dimensions, principles, and techniques to ensure that data and information conform to the necessary quality requirements. ... Information and communication technology (ICT) professionals who touch in any way upon data and information quality ... should find this book mandatory reading. ... its serious depth and breadth would seem to merit building an advanced course on data and information quality around it, so computer science students would be yet another audience. (David G. Hill, Computing Reviews, computingreviews.com, October, 2016)


Author Information

Carlo Batini is full professor of Computer Engineering since 1986, initially at Sapienza – Università di Roma, then since 2002 at University of Milano Bicocca. His research interests include eGoverment, information systems and data base modeling and design, data and information quality, and service science. 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 researcher at Istat, the Italian National Institute of Statistics since 2006. She earned a University Degree in Computer Engineering with honors and a Ph.D. in Computer Engineering at Sapienza - Università di Roma. She is the author of more than 100 papers mainly on data quality, privacy preservation and data integration, published in leading conferences and journals in databases and information systems. She has been involved inseveral European research projects on data quality and data integration.

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