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Aljoscha Krettek

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Unified APIs for Batch and Stream Processing on FlinkFlink Forward Global Virtual 20202020-10-19
Flink adds a new execution.runtime.mode toggle (streaming / batch / automatic) and modernizes time semantics so event time is the default and watermarks jump…
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What's new for Flink's Table & SQL APIs? Planners, Python, DDLFlink Forward Europe 20192019-10-07
Flink 1.9 ships a pluggable Blink planner and a split table-module architecture so users can opt into Blink while falling back to the old planner; the unified…
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Towards Flink 2.0: Unified Batch & Stream ProcessingFlink Forward Europe 20192019-10-07
Flink 1.9 delivers concrete steps toward a unified batch/stream stack: the Table API runs on the DataStream runtime via the Blink planner, sources move to a…
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Talk Python To Me: Stream Processing in your favorite language with Beam on FlinkFlink Forward Berlin 20172017-09-11
Demonstrates a running design that lets Python Beam pipelines execute on Flink by cutting Python PTransforms out of the graph and running them in a separate…
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The Future of Apache FlinkFlink Forward Berlin 20162016-09-12
Current Flink road map lists working features and rough designs: production-ready Dynamic Scaling lets jobs change parallelism at runtime, a Window Trigger DSL…
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Connecting Apache Flink to the World...Flink Forward Berlin 20162016-09-12
Survey of Flink connectors, with concrete internals: Kafka and Kinesis offer exactly-once for sources by integrating consumer offsets with Flink checkpoints…
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