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It's data. I won't say the tooling is irrelevant, but surely the important thing is understanding the domain and the finer points of statistical reasoning that
by nonameiguess 3y ago
It's data. I won't say the tooling is irrelevant, but surely the important thing is understanding the domain and the finer points of statistical reasoning that regular people so often get wrong. I'm sure there are cryptographers who can't code their way out of a paper bag but are one of 50 people on the planet who actually understand how elliptic curves work. My wife is pretty invaluable at her job even though she's asking me dumb newb tech questions all the time because of her background in electrical engineering. Someone needs to check the 25 year-old hotshots who come in knowing all the hottest JS frameworks but don't get why it makes no sense to just take the user options for tasking an electro-optical satellite and port them over exactly to a SAR platform. You can type check to perfection, but if your type doesn't accurately model the thing in the world you're trying to represent, no compiler can tell you that. You have to actually know something about the world outside of software.
- threeseed 3y agoActually the data is mostly irrelevant. The tooling and engineering are what's important. I've worked across Finance, Retail, Insurance, Telco etc and more often than not the data requires deep domain knowledge which would take months of full-time education to understand. Nobody bothers with it. Analysts and Domain Experts will figure out the calculations and pipelines whilst the Data Engineers are responsible for ensuring everything works.