Learn the basic purpose and components of an Apache Kafka installation. This includes an introduction to Kafka topics, writing data with producers, and reading data using consumers.

Introduction to Kafka

Helping Kafka

List of topics

Selecting components

Kafka producers

Writing to a topic

Using kafka-console-producer.sh

Troubleshooting producers

Kafka consumers

Console consumer

Watching live events

Writing to and reading from a topic

Kafka components

Dive deeper into the details and concepts in Kafka, including the architecture and underlying software components. Learn about Kafka servers, brokers, and how to manage clusters using ZooKeeper. Gain further knowledge on creating and managing Kafka topics. Learn some general tools and methods to troubleshoot issues when working with Kafka.

Kafka architecture

Clients and servers

Failure is not an option

Creating and managing Kafka clusters

Starting Kafka

Error on start

Stopping Kafka

Kafka topics

Creating a topic

How many partitions?

Deleting a topic

Kafka troubleshooting

Fixing the command

Topically important

Fixing the command #2

Congratulations!

Kafka details

This course provides a solid foundation in Apache Kafka. You'll begin with understanding the core purpose and components of a Kafka installation, including topics, producers, and consumers. As you progress, you'll delve into Kafka's architecture, exploring servers, brokers, and cluster management with ZooKeeper. The course also covers creating and managing Kafka topics and equips you with essential troubleshooting tools. By the end, you'll have a thorough grasp of Apach Kafka, ready to tackle real-world data streaming challenges.

<h2>Understanding Apache Kafka</h2>
In this course, you'll start by learning the fundamental purpose and components of an Apache Kafka installation. This initial phase introduces you to Kafka topics, the backbone of Kafka's data structure. You'll gain hands-on experience with producers, which write data to Kafka, and consumers, which read data from Kafka, ensuring you understand the basic data flow within a Kafka ecosystem.<br><br>
<h2>Diving Deeper into Kafka's Architecture</h2>
The course progresses by diving deeper into Kafka's architecture and the underlying software components. You'll explore the roles of Kafka servers and brokers and understand how they interact within a cluster. You'll also learn to manage clusters using ZooKeeper, a critical component for maintaining Kafka's distributed nature. This section equips you with the knowledge to set up and maintain a robust Kafka environment.<br><br>
<h2>Kafka Management and Troubleshooting</h2>
As you move further, the course provides in-depth knowledge on creating and managing Kafka topics, essential for organizing and handling data streams effectively. Additionally, you'll learn about various tools and methods to troubleshoot common issues encountered while working with Kafka. By the end of this course, you will have a solid understanding of Kafka, from basic concepts to advanced management techniques, ready to apply in real-world scenarios.

Streaming Concepts

Introduction to Shell

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Introduction to Apache Kafka

Professional Data Engineer in Python

Data Engineering Consultant

What is a producer?

Types of producers

kafka-console-producer.sh

Example

Let's practice!

https://s3.amazonaws.com/assets.datacamp.com/production/course_36655/subtitles/course_36655_53982972fda6798bddadb06c33bae7d1.vtt

Kafka components - Kafka producers

Kafka producers

Create Your Free Account