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Kafka is a distributed streaming platform used for building real-time data pipelines and streaming applications. It was originally developed by LinkedIn and is now an open-source project under the Apache Software Foundation. Kafka is...
Kafka is designed for distributed high throughput systems. Kafka tends to work very well as a replacement for a more traditional message broker. In comparison to other messaging systems, Kafka has better throughput, built-in...
Apache Kafka is a distributed event-streaming platform designed to handle high-throughput and fault-tolerant data processing. Below are its key components and their descriptions: 1. Kafka Components 1.1. Topics 1.2. Partitions 1.3. Brokers 1.4. Producers...
Here’s a comprehensive list of time complexities for commonly used operations in Java Collection Framework objects: In short, O(1) stands for constant time complexity. This means that the operation’s execution time does not depend...
Apache Kafka – Simple Producer-Consumer Example for Insurance In this example, we’ll set up a Kafka producer and Kafka consumer for a simple insurance system. The producer will simulate sending insurance policy data (e.g.,...
Kafka Messaging: Pub-Sub vs Queue-Based Systems Kafka supports both pub-sub and queue-based messaging systems, offering a fast, reliable, persistent, fault-tolerant, and zero-downtime solution. Producers send messages to a topic, and consumers can choose the...
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