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  1. Apache Kafka is an event streaming platform used to collect, process, store, and integrate data at scale. It has numerous use cases including distributed streaming, stream processing, data integration, and pub/sub messaging. In order to make complete sense of what Kafka does, we'll delve into what an event streaming platform is and how it works.

  2. Apache Kafka es un almacén de datos distribuidos optimizado para la ingesta y el procesamiento de datos de streaming en tiempo real. Los datos de streaming son datos generados de forma continua por miles de orígenes de datos que, por lo general, envían los registros de datos en simultáneo. Una plataforma de streaming debe manejar este ...

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

    Franz Kafka [b] (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. [4]

  4. 29 de may. de 2023 · Franz Kafka, un escritor atormentado. Actualizado a 29 de mayo de 2023 · 12:50 · Lectura: 6 min. Al igual que Gregorio Samsa, el protagonista de La Metamorfosis, una de las obras más famosas del escritor checo Franz Kafka, este murió en el anonimato el 3 de junio de 1924 a causa de una tuberculosis. A pesar de que su vida personal fue tan ...

  5. Apache Kafka is an open-source distributed streaming system used for stream processing, real-time data pipelines, and data integration at scale. Originally created to handle real-time data feeds at LinkedIn in 2011, Kafka quickly evolved from messaging queue to a full-fledged event streaming platform capable of handling over 1 million messages ...

  6. 7 de ago. de 2023 · Her expertise lies in creating "fear," even if she herself remains ignorant of the very concept.Download Nowhttps://hoyo.link/3GCFBDALEnglish Voice:Kafka — C...

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  7. kafka.apache.org › downloadsApache Kafka

    27 de feb. de 2024 · Kafka 2.3.0 includes a number of significant new features. Here is a summary of some notable changes: There have been several improvements to the Kafka Connect REST API. Kafka Connect now supports incremental cooperative rebalancing. Kafka Streams now supports an in-memory session store and window store.

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