Kafka Fundamentals

Coursera MOOC / Non-credit USD 49
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Kafka Fundamentals

About this course

In a data-driven world, real-time processing is no longer optional—it's required. This Apache Kafka Fundamentals is a beginner-friendly but in-depth course for developers, data engineers, system administrators, and IT professionals who want to understand the fundamentals of Apache Kafka and its role in creating modern, high-performance data pipelines. You will begin by studying the growth of data systems and the growing significance of big data, analytics, and messaging platforms. Then explore Apache Kafka's architecture, including its key components (partitions, producers, consumers, and brokers), as well as how it handles distributed messaging at scale. You'll learn how to install and set up Kafka and Zookeeper, as well as how to create and operate producers and consumers. You'll also work with crucial features including serializers, deserializers, offset management, and consumer group rebalancing. Hands-on demos, videos, and graded assignments will provide you with practical experience with Kafka in real-world streaming applications. By the end, you'll be able to design and build scalable streaming applications using Apache Kafka. Enroll today and take the first step toward the future of real-time data.

What you'll learn

  • understanding Kafka's architecture
  • installing and setting up Kafka and Zookeeper
  • creating and operating producers and consumers
  • working with serializers and deserializers
  • managing offsets and consumer groups

Course objectives

  • to learn the fundamentals of Apache Kafka
  • to gain practical experience with real-world streaming applications
  • to design and build scalable streaming applications using Kafka

Skills you'll gain

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