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Data Quality provides an expose of research and practice in the
data quality field for technically oriented readers. It is based on
the research conducted at the MIT Total Data Quality Management
(TDQM) program and work from other leading research institutions.
This book is intended primarily for researchers, practitioners,
educators and graduate students in the fields of Computer Science,
Information Technology, and other interdisciplinary areas. It forms
a theoretical foundation that is both rigorous and relevant for
dealing with advanced issues related to data quality. Written with
the goal to provide an overview of the cumulated research results
from the MIT TDQM research perspective as it relates to database
research, this book is an excellent introduction to Ph.D. who wish
to further pursue their research in the data quality area. It is
also an excellent theoretical introduction to IT professionals who
wish to gain insight into theoretical results in the
technically-oriented data quality area, and apply some of the key
concepts to their practice.
Data Quality provides an exposA(c) of research and practice in the
data quality field for technically oriented readers. It is based on
the research conducted at the MIT Total Data Quality Management
(TDQM) program and work from other leading research institutions.
This book is intended primarily for researchers, practitioners,
educators and graduate students in the fields of Computer Science,
Information Technology, and other interdisciplinary areas. It forms
a theoretical foundation that is both rigorous and relevant for
dealing with advanced issues related to data quality. Written with
the goal to provide an overview of the cumulated research results
from the MIT TDQM research perspective as it relates to database
research, this book is an excellent introduction to Ph.D. who wish
to further pursue their research in the data quality area. It is
also an excellent theoretical introduction to IT professionals who
wish to gain insight into theoretical results in the
technically-oriented data quality area, and apply some of the key
concepts to their practice.
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