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Because your time and attention are limited. You can learn all aspects of software engineering, but to what purpose? As a data scientist, you are not spending t
by vaidhy 4y ago
Because your time and attention are limited. You can learn all aspects of software engineering, but to what purpose? As a data scientist, you are not spending time understanding the data, spending time with business to understand the problem and come up with the right objective functions to optimize for, you are probably not being a data scientist.
- PaulHoule 4y agoI would go even wider than that and say that Kubernetes may be an ‘appropriate technology’ for Google but when it is exported to startups it is harmful, like OKRs. IBM had a technology for managing distributed applications for mainframes in the 1990s called “Parallel Sysplex” that was simple in comparison.