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Franz Kafka [b] (3 July 1883 – 3 June 1924) was a German-language novelist and writer from Prague. He is widely regarded as a major figure of 20th-century literature. His work fuses elements of realism and the fantastic. [4]
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.
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.
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.
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.
May 11, 2024 · Producers send messages to Kafka, while consumers receive messages from Kafka. They only receive messages by actively polling from Kafka. Kafka itself is acting in a passive way.
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.
Learn what Apache Kafka is, and how it works as a distributed data streaming platform for real-time data pipelines, integration, and stream processing. Discover Kafka’s use cases with examples.
Building real-time streaming applications that transform or react to the streams of data. First a few concepts: Kafka is run as a cluster on one or more servers that can span multiple datacenters. The Kafka cluster stores streams of records in categories called topics.
This comprehensive guide gives Kafka beginners a practical introduction to the de facto, open-source engine for handling real-time data streams. As you explore Kafka patterns, and detailed examples, you’ll learn how to write reliable, event-driven microservices and build real-time apps and data pipelines. The guide helps architects ...
