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  • Apache 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
  • Apache Kafka
    In this quickstart we'll see how to run Kafka Connect with simple connectors that import data from a file to a Kafka topic and export data from a Kafka topic to a file
  • Apache Kafka
    Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages This allows for lower-latency processing and easier support for multiple data sources and distributed data consumption
  • Apache Kafka
    Kafka 4 0 0 includes a significant number of new features and fixes For more information, please read our blog post, the detailed Upgrade Notes and and the Release Notes
  • Apache Kafka
    We use Kafka, Kafka Connect, and Kafka Streams to enable our developers to access data freely in the company Kafka Streams powers parts of our analytics pipeline and delivers endless options to explore and operate on the data sources we have at hand
  • Apache Kafka
    Introduction Apache Kafka® is a distributed streaming platform What exactly does that mean? A streaming platform has three key capabilities: Pub Sub Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system Stream Storage Store streams of records in a fault-tolerant durable way Real-Time
  • Project information - Apache Kafka
    Apache Kafka: A Distributed Streaming Platform Project information Wiki Check out the project wiki Bugs Follow current development and issues Committers See the project committers Security Learn about Kafka® security Books Academic Papers View our papers and talks Videos Talks View our papers and talks Developer info Getting the code Projects How to contribute Code guidelines Protocol
  • Apache Kafka
    Apache Kafka is Nussknacker's primary input and output interface in streaming use cases - Nussknacker reads events from Kafka, applies decision algorithms and outputs actions to Kafka




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