Scalable Join and Aggregation with External State and Dynamic Tables

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.