Data Modelling and Ingestion

There's only two types of cases that you see, for time serious data. And then also the case where you have a really high rate per device of time serious data being produced. So how we can handled this is with am ar ingestion auto scaling. For instance, if fere seeing a so igess first, for terminology, we refer to any of these partitions as tiles. We will split that tile into two tiles that can serve essentially twice as much through put. Om, and will continue doing that over time to kind of distribute our industion traffic so that we can still serve these really high through put use cases. Ok. i think we're straddling data modelling and ingestion