I have a data model where each read and each write will read and write all data for a given key. Thus, does it make more sense to separate the data into multiple columns, or does it make more sense to store all data in a single column?
My understanding is that breaking data into multiple columns is an optimization for reading and writing a single column. If all data is updated for every write, and read for every read, then having all data in a single column offers better performance, is this a correct assumption?
