Streaming systems are designed to handle unbounded data, providing low-latency, scalable, and fault-tolerant solutions for real-time processing, differing from batch processing.
Bounded data is suitable for batch processing with clear starts and ends, offering predictable processing at the cost of potential latency for large datasets.
Event time refers to the actual occurrence of an event, important for accurate time-based analysis, while processing time is when the system processes the event.
Understanding event time and processing time is crucial for applications needing timely insights and accurate analyses, such as time-series data processing and real-time monitoring.
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