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Fabian Hueske

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titleconferencedate
Production Ready Streaming SQL with Ververica PlatformFlink Forward Global Virtual 20202020-10-19
Ververica Platform adds Flink SQL support and ships a web-based SQL editor with catalog browsing, auto-complete, interactive preview and schema inference. It…
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Flink SQL in 2020: Time to show off!Flink Forward Virtual 20202020-04-22
Demo shows a Docker Compose Flink cluster (JobManager/TaskManagers), Hive metastore, Kafka, MySQL and S3 (MinIO) running live and succeeding: a Kafka→S3 CSV…
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One SQL to Rule Them AllFlink Forward Europe 20192019-10-07
Paper proposes a concrete, implementable model (accepted at SIGMOD 2019) that unifies batch and streaming SQL using three parts: time-varying relations as the…
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7 reasons to use Apache FlinkBerlin Buzzwords 20192019-06-16
Shows concrete use: Apache Flink ingests IoT streams from Kafka, keeps state locally (RocksDB), and uses exactly-once checkpoints persisted to S3/HDFS so state…
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Leverage the power and simplicity of SQL on Apache FlinkBerlin Buzzwords 20182018-06-11
Argues that Apache Flink exposes full SQL and a Table API that deliver unified batch/stream semantics, with production deployments at Alibaba, Huawei, Uber and…
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Unified stream and batch processing with Apache Flink’s relational APIsFlink Forward Berlin 20172017-09-11
Apache Flink provides Table API and SQL as a single relational layer that yields identical results on files or Kafka streams by translating queries into the…
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Declarative stream processing...Flink Forward Berlin 20162016-09-12
Apache Flink claims to run both low-latency pattern detection and high-throughput analytics on the same engine by adding a CEP library and a StreamSQL / Table…
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Taking a look under the hood of Apache Flink’s relational APIsFlink Forward Berlin 20162016-09-12
Flink exposes a Table API and SQL that both translate into the same Calcite logical plan, run through a Volcano-style cost-based optimizer and then into…
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Streaming analytics and CEP ... #bbuzzBerlin Buzzwords 20162016-06-05
Apache Flink claims a single engine can handle both low-latency CEP and high-throughput stream analytics, running millions of events per second at sub-second…
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