Updating data in a view sql
Good tools make the things you need to do easy; poor tools make them hard. (This is all conceptually true, if not literally true - for example, no RDBMS I know of can render 3D graphics.
But any one of them can emulate any calculation a GPU can perform.) Postgre SQL is clearly written by people who actually care about And there are plenty more examples out there.
If Postgre SQL says your import worked, then it worked properly.
The slightest whiff of a problem and it abandons the import and throws a helpful error message.
Poor understanding of CSV seems to be endemic at Microsoft; that file will break Access and Excel too.Maybe MS SQL Server kicks Postgre SQL's arse as an OLTP backend (although I doubt it), but that's not what I'm writing about here, because I'm not an OLTP developer/DBA/sysadmin. Do please use it if you wish; I will do my best to respond. This section is a comparison of the two databases in terms of features relevant to data analytics.CSV is the de facto standard way of moving structured (i.e. All RDBMSes can dump data into proprietary formats that nothing else can read, which is fine for backups, replication and the like, but no use at all for migrating data from system X to system Y.If I find out that I've got something wrong, I'll fix it.
I am comparing the two databases from the point of view of a data analyst.
Microsoft no longer has the monopoly it once enjoyed on the desktop, thanks to the rise of Linux and Apple.