Good Data Gone Bad, Bad Data Gone Worse
How bad data gets into the pipeline, how developers make data bad and worse in the pipeline. This talk will look at data sources, data types, and ways technology can be used to abuse data.
This discussions of problems we've seen in many data sources, as well as how we found and addressed those data quality issues can help you focus on preventing and mitigating data quality problems. 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.