* App with incorrect schema definition is deployed
* App written in TS or Python has type checks disabled
* App written in JS does math, and its fun parsing system decides that 1 + “1” == “11”
I’ve seen all of these.
> You can run a simple script to clean up the "horrific" data.
Depends on scale, and the tables / columns. If there are billions of rows, and the columns with incorrect data aren’t indexed… that’s a bad time.
* App with incorrect schema definition is deployed
* App written in TS or Python has type checks disabled
* App written in JS does math, and its fun parsing system decides that 1 + “1” == “11”
I’ve seen all of these.
> You can run a simple script to clean up the "horrific" data.
Depends on scale, and the tables / columns. If there are billions of rows, and the columns with incorrect data aren’t indexed… that’s a bad time.