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5 Physical Data Modeling Blunders and How to Avoid Them

What's going on in the physical data model? How many people can or will update it to match the reality of what's going on in the databases? Who decides what goes into the physical model? In this presentation the presenter discusses 5 physical data modeling mistakes that cost you dearly: performance snags, development delays, bugs, and professional respect. Data Architects are often tasked to prepare first cut physical data models, yet these skills usually overlap those of DBAs and Developers and this overlap can lead to contention, confusion, and complacency.

Provided by: CA Topic: Data Management Date Added: Sep 2010 Format: Webcast

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