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This conference talk demonstrates how to efficiently filter event streams using Apache Flink SQL instead of complex Java logic. Learn how ING transformed their notification system by converting heavy Java code into streamlined SQL-like queries for processing data streams. Through a live-coding demonstration, see the practical implementation of consuming Kafka events, applying sophisticated filtering rules with Flink, and publishing filtered results to output Kafka topics. Discover the significant development time and performance benefits gained by leveraging Flink SQL for complex data transformations in event-driven architectures.
