Time: 11:30 - 12:20
Room: Junior Ballroom G
What is bad data, how it gets into the pipeline, how developers might make data bad and worse. This talk will look at data sources, data types, and ways postgres can be used to abuse data.
I bring my experience doing QA for a startup and my background studying anthropology to discuss problems we've seen in many data sources, as well as how we found and addressed those data quality issues. Additionally, I will talk about some of the things that a user can do or not do in postgres that might or will definitely lead to data corruption.
The following slides have been made available for this session: