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Data Analysis for Database Design, 3rd Edition
book

Data Analysis for Database Design, 3rd Edition

by David Howe
May 2001
Intermediate to advanced content levelIntermediate to advanced
336 pages
14h 36m
English
Butterworth-Heinemann
Content preview from Data Analysis for Database Design, 3rd Edition
Redundant vs duplicated data
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As we have seen, a major advantage of the database approach is that inconsistency can
be reduced by eliminating redundant data. Also, it seems likely that the elimination of
redundancy will lead to a simpler conceptual model which more accurately reflects the
real world. This chapter gives a fairly informal introduction to the identification and
elimination of redundant data.
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Care must be taken to distinguish between duplicated data and redundant data.
Duplicated data is present when an attribute has two (or more) identical values. A data
value is redundant if you can delete ...
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Publisher Resources

ISBN: 9780750650861