How best to store timeseries grid data?
I plan on building a pipeline that ingests 2d grid data (lat,long,value) thats updated frequently but I have zero clue on how exactly to store it, as I would have 4 columns essentially (timestamp, lat, long, value). So unique key per row would be combination of time/lat/long.
Would columnar format still be best? It wont be large, coordinates are integer values, data is updated every \~5 min and its provided in a json format.
My current pipeline ingests normal timeseries data, saves raw in S3 and transformed in Postgres, but I’m not sure if it’s best to have this data treated the same. Was thinking maybe a different file format and keep solely in S3? The values doesn’t need any processing
Ultimate goal is to in the frontend build a live, last n-days animation of the globe to see how the values change