Explore Apache Flink, an open-source stream processing framework for high-throughput, low-latency data processing, with support for event time and stateful computations. Learn about its setup, programming model, and robust features for building scalable event-driven systems.
Explore the critical differences between event time and processing time in stream processing, their advantages, trade-offs, and implementation in frameworks like Apache Flink and Kafka Streams.