From the course: Data Quality: Core Concepts

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Data quality dimensions: Intro

Data quality dimensions: Intro

From the course: Data Quality: Core Concepts

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Data quality dimensions: Intro

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- [Instructor] In previous videos, I hinted at there's these data quality dimensions that DAMA talk about. We're now going to be going over them in the next few videos at a time where I'll provide kind of a high level example of each one, as well as examples from my experience in my career, seeing these data quality issues pop up. DAMA defines these data quality dimensions as validity, completeness, consistency, integrity, timeliness, currency, reasonableness, uniqueness, and accuracy. Now, there are a whole bunch of other different aspects of data quality that are not included in this. There's so many different directions you can go, so many different ways you can define it. I like the DAMA ones 'cause it starts as a good foundation to start off with before you start exploring more. And this book is what people many times reference for when they're thinking about data governance strategy or data quality strategy. In the next set of videos, we'll go over three at a time, where you can…

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