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  1. en.wikipedia.org › wiki › Franz_KafkaFranz Kafka - Wikipedia

    Franz Kafka (3 July 1883 – 3 June 1924) was a German-speaking Bohemian Jewish novelist and writer from Prague. He is widely regarded as one of the major figures of 20th-century literature. His work fuses elements of realism and the fantastic.

  2. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Above is a snapshot of the number of top-ten largest companies using Kafka, per-industry.

  3. Apache Kafka is a data streaming system used for real-time data pipelines, data integration, and event-driven systems. Learn how Kafka works with examples and use cases.

  4. en.wikipedia.org › wiki › Apache_KafkaApache Kafka - Wikipedia

    Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala . The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

  5. 2 days ago · Franz Kafka (born July 3, 1883, Prague, Bohemia, Austria-Hungary [now in Czech Republic]—died June 3, 1924, Kierling, near Vienna, Austria) was a German-language writer of visionary fiction whose works—especially the novel Der Prozess (1925; The Trial) and the story Die Verwandlung (1915; The Metamorphosis )—express the anxieties and ...

  6. kafka.apache.org › introApache Kafka

    Kafka APIs. In addition to command line tooling for management and administration tasks, Kafka has five core APIs for Java and Scala: The Admin API to manage and inspect topics, brokers, and other Kafka objects. The Producer API to publish (write) a stream of events to one or more Kafka topics.

  7. Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.

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