Kafka and how we use it in distributed environment

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Accepted Answer

Kafka is a distributed streaming platform used for building real-time data pipelines and streaming applications.

Kafka is used for building real-time data pipelines and streaming applications in a distributed environment.
It provides high-throughput, fault-tolerant, and scalable messaging system.
Kafka uses topics to categorize messages, which are then stored in partitions for distribution across multiple nodes.
Producers publish messages to topics, while consumers subscribe to topics to receive messages.
Kafka can be integrated with various data processing frameworks like Spark, Flink, and Storm for real-time analytics.
Example: A company uses Kafka to collect user activity data from multiple sources and process it in real-time for personalized recommendations.

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