address the lag in real-time data processing we must several factor consider we should first check for data failures if any message are failing and push to the dead letter Q time-consuming this can be ensure proper handling of failures we must next examine any internal API's fault or database interaction optimal time they should take from logs identify latency we can also consider volume of incoming data if too large old man the system may be increase the number of parallel executors we can weather any using Piscas Apache beam Apache blink this approach must faster data processing it ensures check the format size incoming on data we must ensure connect correct and manageable it is this is identifying failures checking extra interactive main data volume increasing executor address lag in real-time data processing
