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  1. Apache Kafka® & Apache Flink®. Unified for the Data Streaming Era. Experience Kafka reinvented with Flink — on the cloud-native and complete data streaming platform to connect and process your data in real-time everywhere you need it. Start for free.

  2. Confluent products are built on the open-source software framework of Kafka to provide customers with reliable ways to stream data in real time. Confluent provides the features and know-how that enhance your ability to reliably stream data.

  3. Apache Kafka® Documentation. An open-source distributed data streaming engine that thousands of companies use to build streaming data pipelines and applications, powering mission-critical operational and analytics use cases. Learn More.

  4. Describes Apache Kafka, which is a distributed system for event streaming and basic terminology such as Kafka topics, brokers, consumers and producers

  5. Apache Kafka is an open-source distributed streaming system used for stream processing, real-time data pipelines, and data integration at scale.

  6. Find the guides, samples, and reference content you need to use the streaming data platform based on Apache Kafka®.

  7. Confluent offers a cloud-native, complete data streaming platform available everywhere you need it. Our fully managed Kafka service enables you to implement real-time use cases quickly, securely, and reliably. Get started free Why Confluent.

  8. At the core of Confluent Platform is Kafka, the most popular open source distributed streaming platform. Kafka enables you to: Publish and subscribe to streams of records. Store streams of records in a fault tolerant way. Process streams of records.

  9. Kafka topics. Working with Apache Kafka topics and related configurations. Count the number of messages. Update partitions and replicas. Maintain message ordering. Multiple event types in a Kafka topic with Avro.

  10. class confluent_kafka.SerializingProducer(conf) [source] A high level Kafka producer with serialization capabilities. This class is experimental and likely to be removed, or subject to incompatible API changes in future versions of the library.

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