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Caito Scherr

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titleconferencedate
Better, Faster, Stronger Streaming: Your First Dive into Flink SQLDataEngBytes 20212021-10-10
Claims that you can build a working stream pipeline in minutes using Flink SQL client and a Flink cluster (Java 8/11 required), demonstrating a local CSV…
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Better, Faster, Stronger Streaming: Your First Dive into Flink SQLData Con LA 20212021-09-17
Uses Apache Flink SQL to build a real, scalable stream pipeline from local CSV or synthetic data in three steps (four if persisting results): untar Flink…
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Better, Faster, Stronger Streaming: Your First Dive into Flink SQLBerlin Buzzwords 20212021-06-15
Flink SQL provides a concise way to build stateful streaming pipelines with the same semantics for bounded and unbounded data, claiming exactly-once guarantees…
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Building a Python Data Pipeline with Apache FlinkPyCascades 20212021-02-19
Combines Python and Apache Flink to run scalable, stateful stream pipelines using the PyFlink Table API and Pandas vectorized UDFs to cut serialization…
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Streaming Fast and SlowData Con LA 20202020-10-23
Practical guide to using metrics to shape streaming apps with Apache Flink and external reporters (Prometheus, Datadog). Emphasizes measuring watermarks…
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Sweet Streams are Made of These: Applying Metrics-driven Development to Apache FlinkFlink Forward Global Virtual 20202020-10-19
Practical recipe for making Flink production-ready: build a tight metrics cycle using Flink’s REST API and reporters (Prometheus, DataDog) and pair with an…
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Sweet Streams Are Made Of TheseDataEngBytes 20202020-08-20
Builds streaming apps with Apache Flink (and mentions Beam and Kafka) and uses concrete metrics to change development: tracks watermarks monitored and…
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Flinking, Fast and SlowFlink Forward Europe 20192019-10-07
Built the company’s first Flink service in production that reads from Kafka, runs two Flink jobs (map/reduce then watermarking), writes to Kafka and an…
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