Which option is not advisable to improve source aggregation speed?

Running all sources at once during business hours is not advisable to improve source aggregation speed because it can lead to system resource contention and performance degradation. During peak operational hours, the system is likely already handling a significant amount of user activity and resource demands. Aggregating all sources simultaneously could overwhelm the system, leading to slower performance for both aggregation processes and daily operations.

In contrast, employing advanced filters can streamline the data retrieval process by limiting the data set to only what is necessary for aggregation, thus improving speed. Enabling parallel processing allows multiple data sources to be aggregated concurrently, which can significantly reduce overall processing time by utilizing system resources more effectively. Limiting data volume through efficient queries ensures that only relevant data is processed, minimizing the time required for aggregation. Each of these strategies is designed to optimize system performance and enhance the speed of data aggregation, making them more effective in achieving faster results compared to running all sources simultaneously during busy periods.