Aethervest harvests every other day but updates only if data has not been updated in the past 7 days
Model for product-metrics creates a row for every single day - creating redundant data for 8 days. This also creates a false sense of day-to-day changes both in the developer and client side.
Proposal for change: Choose a day (i.e. Sunday) and have the data granularity be on a week-to-week basis. Assign data points to the closest day.
Example:
Scopuli creates rows with (11/05/2023 and 11/12/2023)
Data points are 11/05/2023 and 11/13/2023.
It will assign the data to 11/05/2023 and 11/12/2023 respectively.
Aethervest harvests every other day but updates only if data has not been updated in the past 7 days
Model for product-metrics creates a row for every single day - creating redundant data for 8 days. This also creates a false sense of day-to-day changes both in the developer and client side.
Proposal for change: Choose a day (i.e. Sunday) and have the data granularity be on a week-to-week basis. Assign data points to the closest day.
Example:
Scopuli creates rows with (11/05/2023 and 11/12/2023)
Data points are 11/05/2023 and 11/13/2023.
It will assign the data to 11/05/2023 and 11/12/2023 respectively.