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  1. developer.confluent.io › what-is-apache-kafkaWhat is Kafka, and How Does it Work? A Tutorial for Beginners -...

    Learn what Apache Kafka is, how it works, and why it is used for event streaming. Explore Kafka architecture, core concepts, and use cases with examples and videos.

  2. kafka.apache.org › introApache Kafka

    Apache Kafka is a distributed system that publishes, subscribes, stores, and processes streams of events in real-time. Learn what event streaming is, how Kafka works, and what use cases it can solve.

  3. kafka.apache.orgApache Kafka

    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.

  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. www.baeldung.com › apache-kafkaIntroduction to Apache Kafka - Baeldung

    May 11, 2024 · Use UI for Apache Kafka (Kafka UI) The UI for Apache Kafka (Kafka UI) is a web UI, implemented with Spring Boot and React, and provided as a Docker container for a simple installation with the following command:

  6. www.datacamp.com › tutorial › apache-kafka-for-beginners-aApache Kafka for Beginners: A Comprehensive Guide

    Mar 13, 2024 · Learn what Apache Kafka is, why it is used, and how it works. Explore its core components, advantages, and real-world applications with examples and tutorials.

  7. docs.confluent.io › kafkaIntroduction to Apache Kafka | Confluent Documentation

    Apache Kafka is a distributed event streaming platform that handles large volumes of data in a scalable and fault-tolerant manner. Learn about its features, terminology, and applications for real-time analytics, data ingestion, and event-driven architectures.