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  1. 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.

  2. 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.

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

    The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka can connect to external systems (for data import/export) via Kafka Connect, and provides the Kafka Streams libraries for stream processing applications.

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

    Franz Kafka [b] (3 July 1883 – 3 June 1924) was a German-language 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]

  5. kafka.apache.org › introApache Kafka

    To process streams of events as they occur or retrospectively. And all this functionality is provided in a distributed, highly scalable, elastic, fault-tolerant, and secure manner. Kafka can be deployed on bare-metal hardware, virtual machines, and containers, and on-premises as well as in the cloud.

  6. Apache Kafka is a distributed data streaming platform used for real-time data pipelines, integration, stream processing, and more. Learn how Kafka works and how it's used with examples.

  7. Apache Kafka for Beginners: A Comprehensive Guide. Explore Apache Kafka with our beginner's guide. Learn the basics, get started, and uncover advanced features and real-world applications of this powerful event-streaming platform. Mar 2024 · 8 min read.

  8. 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.

  9. May 11, 2024 · As we have found out, Kafka uses topic partitions to allow parallel message delivery and load balancing of consumers. But Kafka itself must be scalable and fault-tolerant. So we typically do not use a single Kafka Broker, but a Cluster of multiple brokers.

  10. Apache Kafka (Kafka) is an open-source, distributed streaming platform that enables (among other things) the development of real-time, event-driven applications and user experiences on the web. Today, billions of data sources continuously generate streams of data records, including streams of events. An event is a digital record of an action ...

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