5 Ways To Manage Database Schema Changes in .NET

Most useful applications these days store some data in some storage. Sometimes this storage is a relational database with a well-defined schema. This schema might evolve with time, requiring production databases to be updated. In some cases, this is a rare occasion and perhaps can be done manually. However, if a company follows an agile approach and is trying to deliver new releases continuously, then these manual updates can quickly become too much of a headache even for experienced DBAs.

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