Schema proliferation builds slowly and gets expensive fast. One schema per event type feels right until there are ten tables, union queries spanning all of them, and a single field rename touching ...

The Table API enables a programmatic way of developing, testing, and submitting Flink pipelines for processing data streams. Streams can be finite or infinite, with insert-only or changelog data. The ...

Abstract: Big Data Stream processing engines such as Apache Flink use windowing techniques to handle unbounded streams of events. Gathering all pertinent input within a window is crucial for ...

The de facto standard for real-time stream processing is sometimes described as being complex and difficult to learn. Start by understanding these core principles. In recent years, Apache Flink has ...

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Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration, and ...

org.apache.pulsar pulsar-flink 2.4.0 Exception in thread "main" org.apache.flink.api.common.InvalidProgramException: The implementation of the RichSinkFunction is not ...