April 2016
Intermediate to advanced
712 pages
18h 34m
English
Content preview from Relational Database Design and Implementation, 4th Edition
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Chapter 25
Data Quality
Abstract
This chapter covers issues associated with data quality. It begins with a discussion of the importance of data quality (being able to trust the accuracy of data in a database). The remainder of the chapter covers recognizing and handling specific types of data quality problems. The last section looks at the relationship between an organization’s employees and data quality.
Keywords
data quality
complete data
incorrect data
incomprehensible data
inconsistent data
As early as the 1960s, there was an expression in computing that most people in the field agreed was true: “Garbage in, garbage out.” (It was abbreviated GIGO and was pronounced “guy-go.”) We worried about the effect of the quality of input data on the output ...
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