What SQL command is used to aggregate data over specific time intervals?

The command that is designed to aggregate data over specific time intervals is associated with the SUM function used in conjunction with the OVER clause. In SQL, the SUM function calculates the total value of a numeric column for a specified range of records or over partitioned data. When combined with the OVER clause, it allows for the creation of aggregated results while still preserving the detail of the individual records.

Using SUM with the OVER clause allows you to specify a window of data for aggregation, which can be defined by time intervals. For example, you can sum values in a particular column for each day, month, or any other defined time period, without losing the granularity of the underlying dataset. This makes it particularly useful for time series analysis and reporting on aggregated data by specific intervals.

In contrast, while AVG and COUNT can also be used for aggregation purposes, they do not focus on the use of time intervals in the same way that SUM typically does when paired with the OVER clause in certain contexts. Additionally, GROUP BY is another method for aggregating data, but it does not support windowing like the combination with OVER does. Thus, the combination of SUM with OVER stands out as the correct choice for aggregating data over defined time intervals.