> Storing old data as-is
What does this mean? Can you give an example?
> Storing old data as-is
What does this mean? Can you give an example?
I've used Cassandra very successfully, but there are plenty of options.
> > Storing old data as-is
> What does this mean? Can you give an example?
I mean not migrating the stored version of old data (note I'm not suggesting "no schema" or anything like that; what I'm opposing is the idea that you have a single global mutable version of the schema and mutate historical records in place to match that). E.g. if you started by storing users with a single nationality field and then realised that actually the same user can have multiple nationalities, while you'd change the DTO representation of a user that you read into, you wouldn't rewrite the on-disk representation of previously stored users.
SQL has earned its place due to the expressiveness and flexibility .. you may hold your opinions but you'll hardly find anyone who would take 'SQL is overrated' seriously.