When I rejoined the federal government in 2016, our team’s desks were around the corner from a large team working on a financial management transformation project – the walls of their area covered in mesmerizing, plotter-printed posters. This was my first introduction to enterprise architecture. If you haven’t worked in government IT, it can be hard to describe, but if you’ve seen business capability models, target state architectures, TOGAF frameworks, or architecture review committee presentation decks, hello. You’ve met enterprise architecture.
Staying mad about how R's tidyverse has a better syntax for data science than Python's pandas API is going to cost me valuable brain space and maybe even job opportunities, but I know I'm right because both R and Python are converging to tidypolars