Data Modeling and Metadata–A Great Match
Craig Mullins ( @craigmullins | blog ) has written a post about how data modeling supports metadata management and therefore better IT systems. You may know Craig through his evangelism about DB2 and Database Administration.
So how do you ensure that you are exploiting the metadata you are collecting to the fullest, possible extent? How do you make sure that your metadata is easily accessible and effectively used across your organization? Well, this is where modeling comes in to play. Modeling is important to metadata management.
Effective communication is at the heart of the metadata value proposition. Data managers must be able to interpret the data coming into their organization and then provide a roadmap to everyone else so that they too can reach their destination. Modeling adds value to metadata management much the same way it does for data itself — by serving as a standardized language, easily understood by everyone from business users to application developers to DBAs.
It’s always good to see people on the more technical side of data management (databases and technology) appreciate and support data modeling efforts. You should read his whole post, then leave him a comment.
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Thanks Karen… I appreciate your comments!