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Ten Common Database Design Mistakes

Ten Common Database Design Mistakes
No list of mistakes is ever going to be exhaustive. People (myself included) do a lot of really stupid things, at times, in the name of “getting it done.” This list simply reflects the database design mistakes that are currently on my mind, or in some cases, constantly on my mind. I have done this topic two times before. If you’re interested in hearing the podcast version, visit Greg Low’s super-excellent SQL Down Under. I also presented a boiled down, ten-minute version at PASS for the Simple-Talk booth. Before I start with the list, let me be honest for a minute. So, the list: Poor design/planning Ignoring normalization Poor naming standards Lack of documentation One table to hold all domain values Using identity/guid columns as your only key Not using SQL facilities to protect data integrity Not using stored procedures to access data Trying to build generic objects Lack of testing Poor design/planning Ignoring Normalization Are there always 12 payments? Poor naming standards Security

https://www.simple-talk.com/sql/database-administration/ten-common-database-design-mistakes/

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Five simple database design tips A flawed database can affect all areas of your application, so getting the design right is of paramount importance. Check out Builder's five simple design tips, and share some of your own. If an enterprise’s data is its lifeblood, then the database design can be the most important part of an application. Volumes have been written on this topic, and entire college degrees have been built around it. However, as has been said time and time again here on Builder.com, there’s no teacher like experience. I’ll get the show started by listing my five favorite tips and giving a brief explanation of the rationale behind each one.

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