Apache Kafka is a high-performance, distributed message streaming platform that is widely used for building real-time data pipelines and event-driven applications. It provides a scalable and fault-tolerant solution for handling high-volume data streams. In this article, we will explore the concept of Kafka, its significance in modern data architecture, and delve into practical examples of using Kafka with C#.
- What is Kafka?
Apache Kafka is a distributed publish-subscribe messaging system that allows applications to send and receive high volumes of data in real-time. It is designed to handle streaming data efficiently and is known for its high throughput, fault tolerance, and scalability. Kafka serves as a central hub for data streams, enabling various applications to consume and process data independently.
- Key Concepts of Kafka:
a. Topics: Kafka organizes data into topics, which act as data channels. Producers publish messages to specific topics, and consumers subscribe to those topics to receive the messages.
b. Producers: Producers are applications that write data to Kafka topics. They publish messages to specific topics based on the data they produce.
c. Consumers: Consumers are applications that read data from Kafka topics. They subscribe to topics and process the messages received from producers.
