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Apache Kafka

Apache Kafka is a distributed streaming platform, handling real-time data feeds. It ensures scalable, fault-tolerant, and high-throughput data processing, making it vital for building efficient and resilient data pipelines.

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Frequently asked questions

What is Apache Kafka?

Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming applications. It is designed to handle large volumes of data, providing high-throughput, fault tolerance, and horizontal scalability.
How does Apache Kafka handle data streams?

Apache Kafka manages data streams through a publish-subscribe model. Producers publish messages to topics, and consumers subscribe to those topics to receive the messages. This allows for real-time communication and data transfer between various components in a distributed system.
What are the key components of Apache Kafka?

The key components of Apache Kafka include Producers (send messages to topics), Consumers (subscribe to topics and process messages), Brokers (Kafka servers managing the storage and distribution of messages), and Zookeeper (for managing distributed systems and configuration).
What is the significance of Kafka Streams in Apache Kafka?

Kafka Streams is a library in Apache Kafka that enables real-time stream processing. It allows developers to build applications that can consume, process, and produce data streams in a fault-tolerant and scalable manner, directly within the Kafka ecosystem.
How does Apache Kafka ensure fault tolerance?

Apache Kafka ensures fault tolerance through replication. Data is replicated across multiple Kafka brokers, and if a broker fails, another replica can take over. This replication mechanism ensures data durability and availability in the event of hardware failures.

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