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.
Luckily, this
problem is not new at all, so there are tools to help with that. Most of my
career I have been developing with .NET, so I will only discuss tools that make
sense for .NET developers.
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