What is Apache Kafka and how does it work?
An example of an AI chatbot conversation about understanding Apache Kafka.
What is Apache Kafka and how does it work?
Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. It works by allowing producers to send messages to topics, which are then consumed by consumers.
What are the main components of Kafka?
The main components of Kafka include Producers, Consumers, Topics, Brokers, and Zookeeper. Producers send data to topics, while consumers read from them. Brokers manage the storage and retrieval of messages.
How does Kafka ensure message durability?
Kafka ensures message durability by persisting messages to disk and replicating them across multiple brokers. This way, even if a broker fails, the messages remain available.
Can you explain the concept of partitions in Kafka?
Partitions in Kafka are a way to split a topic into smaller, manageable pieces. Each partition is an ordered, immutable sequence of messages, and they allow Kafka to scale horizontally by distributing the load across multiple brokers.
What are some common use cases for Apache Kafka?
Common use cases for Apache Kafka include real-time analytics, log aggregation, stream processing, and integrating data between different systems.
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