Event Time Processing

Event Time Processing is a method used in data analysis and streaming systems to accurately track and analyze data based on when events actually occurred, rather than when they are received or processed. It assigns timestamps to events representing their real occurrence time, allowing for precise time-based analysis, even if data arrives out of order or with delays. This approach ensures insights reflect true event sequences, which is essential for applications like financial transactions, sensor data, or logs where timing accuracy is critical. It helps provide a clearer picture of how events unfolded over real time, regardless of processing delays.