What is the recommended approach to scheduling your incremental data load in FDI?

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Multiple Choice

What is the recommended approach to scheduling your incremental data load in FDI?

Explanation:
Scheduling incremental data loads during off-peak hours minimizes the impact on source systems and reduces contention for CPU, memory, I/O, and network bandwidth. This timing gives a larger processing window for extracting, transforming, and loading data, plus room to handle retries or errors without affecting normal users. Running right after data is ready can still collide with other heavy operations, and scheduling during peak hours increases the chance of performance issues. Limiting loads to weekends is often impractical and insufficient for keeping data fresh. So, off-peak scheduling is the best approach.

Scheduling incremental data loads during off-peak hours minimizes the impact on source systems and reduces contention for CPU, memory, I/O, and network bandwidth. This timing gives a larger processing window for extracting, transforming, and loading data, plus room to handle retries or errors without affecting normal users. Running right after data is ready can still collide with other heavy operations, and scheduling during peak hours increases the chance of performance issues. Limiting loads to weekends is often impractical and insufficient for keeping data fresh. So, off-peak scheduling is the best approach.

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