Apache Flink is a stream processing framework designed for large-scale, stateful computations on both batch and real-time data. It offers advanced features like exactly-once state consistency, event-time processing, support for late data handling, and highly scalable deployment options, making it ideal for analytic workloads, ETL pipelines, and event-driven applications. Flink is aimed at engineers, data scientists, and organizations seeking robust, low-latency data processing at scale.
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Comprehensive guides and API references for using Apache Flink.