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Learn how to implement scalable join and aggregation operations using external state management and dynamic tables in Apache Flink streaming applications. Discover advanced techniques for handling large-scale data processing challenges, explore external state storage patterns that enable efficient memory management, and understand how dynamic tables can optimize join operations in streaming environments. Examine real-world implementation strategies for building robust, high-performance streaming systems that can handle complex aggregations and joins at scale, with insights from an Apache Flink committer's experience at Xiaomi.
