Hey y’all,
I had finished the Django courses and have a data app I’ve been working on; up until now I’ve just used dummy data to more-or-less represent my realworld dataset, but currently I’m a little confused on the best way to approach piping my standard, non-ORM’d Django data into it’s models structure.
If anyone had an direction on things I can read or tutorials that would be awesome; my production DB is going to be a postgres DB, but I’ll be populating it (ideally) from a large dataset I’ve been gathering for a couple years (which lives in Bigquery).
Any direction is greatly appreciated.