What consideration is important when using throttle with real-time data updates?
Using throttle with real-time data requires careful consideration: 1) Throttling will cause some data points to be skipped, 2) This might be significant for time-series data or analytics, 3) The trade-off between update frequency and performance must be evaluated, 4) Critical state changes might be missed during the throttle period, 5) The throttle interval should be chosen based on data importance and frequency, 6) Some applications might need to buffer or aggregate skipped updates, 7) This is particularly important for monitoring or tracking applications, 8) Understanding this limitation is crucial for maintaining data accuracy.