January 2003
Intermediate to advanced
300 pages
15h 18m
English
Content preview from Data Quality
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The previous four chapters discussed column properties, data structures, and
data rules that provide a specific definition of what is valid and what is invalid.
For "soft" data rules, the rule is very specific about what constitutes correct,
whereas a violation may have been caused by someone making an exception to
the rule. However, the data rule itself is a clear definition of what the data
ought to be.
There are additional tests you can construct that point to the presence of
inaccurate data that are not as precise in establishing a clear boundary between
right and wrong. These are called value ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.