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(This may sound fussy or inconvenient, but it is actually an example of a well-established design principle.It makes sense: would you rather find out your import went wrong now, or a month from now when your client complains that your results are off? Most people don't believe me when I tell them this. Usually they observe something like: easy to write (I wrote one in C and plumbed it into PHP a year or two ago, because I wasn't happy with its native CSV-handling functions.
Over the years I have discussed the issue of Postgre SQL vs. Unless otherwise stated I am referring to Postgre SQL 9.3 and MS SQL Server 2014, even though my experience with MS SQL Server is with versions 2008 R – for the sake of fairness and relevance I want to compare the latest version of Postgre SQL to the latest version of MS SQL Server.
Where I have made claims about MS SQL Server I have done my best to check that they apply to version 2014 by consulting Microsoft's own documentation – although, for reasons I will get to, I have also had to rely largely on Google, Stack Overflow and the users of the internet.
I work as a data analyst in a global professional services firm (one you have certainly heard of). I have spent that decade dealing with data, database software, database hardware, database users, database programmers and data analysis methods, so I know a fair bit about these things.
I frequently come into contact with people who know very little about these things – although some of them don't realise it. This document is my way of automating that conversation.
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.
There is no such thing as "you can do X in software A but you can't do X in software B".
You can do anything in anything – all that varies is how hard it is.
number of characters) of the last column in this file (it has 50 columns). (The answer you're looking for is exactly 183.895.) Naturally, determining this is trivially easy in Postgre SQL – in fact, the most time-consuming bit is creating a table with 50 columns to hold the data.
Poor understanding of CSV seems to be endemic at Microsoft; that file will break Access and Excel too.
In this article, you will find information regarding the newest release for Team Foundation Server 2018. To learn more about Team Foundation Server 2018, see the Team Foundation Server Requirements and Compatibility page.