Stream Processing

Apache Flink is an open-source, distributed stream processing framework designed for high-performance, real-time data processing, supporting both streaming and batch workloads with exactly-once guarantees.[1][2][4][6] This detailed guide covers everything from fundamentals to advanced concepts, setup, coding examples, architecture, and curated resources to help developers and data engineers master Flink. Introduction to Apache Flink Apache Flink stands out as a unified platform for handling stream and batch processing, treating batch jobs as finite streams for true streaming-native execution.[3][4] Unlike traditional systems like Apache Storm (micro-batching) or Spark Streaming (also micro-batching), Flink processes data in true low-latency streams with event-time semantics, state management, and fault tolerance via state snapshots.[4][5] ...