13 ms·
"Scalability! but at what COST?" Is a very good example on how frustrating it can be. We are throwing a lot of resources against a problem because we are not a
by hansitomani 6y ago
"Scalability! but at what COST?" Is a very good example on how frustrating it can be.
We are throwing a lot of resources against a problem because we are not able to educate people good enough to understand basic performance optimizations.
You are a Data Scientist/anyone else and you don't understand your tooling? You are doing your job wrong.
- Ar-Curunir 6y agoMaybe the available tooling for extracting good performance is not friendly to people that aren’t already familiar with it?