Scenario: You are designing a real-time system for gcp video
data-engineer-pro video for scenario: You are designing a real-time system for a ride-hailing app that identifies areas with high demand for rides. The system
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Scenario: You are designing a real-time system for a ride-hailing app that identifies areas with high demand for rides. The system ingests data from multiple sources into Pub/Sub, processes the data, and stores the results for real-time dashboards. The system processes driver location updates every 5 seconds and rider booking events. It needs to aggregate data over a 30-second window, updating every 2 seconds, and store the results in a low-latency system. Question: What should you do to group the data and store the aggregated results effectively for this real-time system?