Hey!
In accordance with how you’re thinking about flexible-datamodels. Has Cognite done any exploration around flexible time-series modelling? Akin to what you’re doing with charts, a fleet of sensors might be viewed as having the same transformational needs as an Asset does.
At Statett, we have “views” of data (typically some linear combination of time-series). We persist these with synthetic time-series as an intermediary, then upload to a new TimeSeries. Unfortunately, the data is not immune to updates or backfills. So these computed TimeSeries either have to have a pretty severe lag, or we have to re-compute at an alarming rate, wasting compute. These computed time-series are further used in computations that we would like persisted.
Do you envision expanding Charts to cover this functionality? I.e. having the configuration as code, with Stream logic for re-computes etc.? Or, do you have no plans for Managed Data Transformations?
Thanks for your response :)