The next generation of streaming isn't about faster pipelines, but about smarter connections. DeltaJoin, a new operator in Apache Flink, reimagines stream joins by moving from brute-force state to change-driven computation. Paired with Fluss, Flink's purpose-built storage layer, it enables systems that are real-time, scalable, and cost-efficient. Anton will show how DeltaJoin and Fluss shift streaming architecture from ephemeral flows to durable, queryable state that bridges real-time processing with lakehouse patterns. Drawing on production experience, he'll demonstrate how these innovations reduce join costs, simplify architectures, and unlock new possibilities for real-time analytics. Attendees will leave with a vision of Flink 2.x as the backbone for event-driven systems and modern data platforms.
talk-data.com
Speaker
Anton Borisov
2
talks
Anton Borisov architects real-time data platforms at the edge of what's possible with Flink, Kafka, and emerging open-source technologies. At Fresha, he led mission-critical projects from zero-downtime Postgres migrations to streaming architectures powering real-time customer analytics. A recognized voice in the data streaming community, Anton writes technical deep-dives that shape how engineers approach Flink, Iceberg, Paimon, and StarRocks, bridging research, open-source innovation, and production reality.
Bio from: Message Tracking, Fluss in Apache Flink 2.x, & Kafka-to-Iceberg Transformation
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The next generation of streaming isn't about faster pipelines, but about smarter connections. DeltaJoin, a new operator in Apache Flink, reimagines stream joins by moving from brute-force state to change-driven computation. Paired with Fluss, Flink's purpose-built storage layer, it enables systems that are real-time, scalable, and cost-efficient. Anton will show how DeltaJoin and Fluss shift streaming architecture from ephemeral flows to durable, queryable state that bridges real-time processing with lakehouse patterns. Drawing on production experience, he'll demonstrate how these innovations reduce join costs, simplify architectures, and unlock new possibilities for real-time analytics. Attendees will leave with a vision of Flink 2.x as the backbone for event-driven systems and modern data platforms.