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Introduction to Apache Kafka

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

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2 hours8 videos28 exercises
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Course Description

Understanding Apache Kafka

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.

Diving Deeper into Kafka's Architecture

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.

Kafka Management and Troubleshooting

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.
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In the following Tracks

Professional Data Engineer in Python

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  1. 1

    Kafka components

    Free

    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.

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    Introduction to Kafka
    50 xp
    Helping Kafka
    100 xp
    List of topics
    100 xp
    Selecting components
    50 xp
    Kafka producers
    50 xp
    Writing to a topic
    50 xp
    Using kafka-console-producer.sh
    100 xp
    Troubleshooting producers
    50 xp
    Kafka consumers
    50 xp
    Console consumer
    100 xp
    Watching live events
    50 xp
    Writing to and reading from a topic
    100 xp
  2. 2

    Kafka details

    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.

    Play Chapter Now
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GroupTraining 2 or more people?

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In the following Tracks

Professional Data Engineer in Python

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collaborators

Collaborator's avatar
George Boorman
Collaborator's avatar
Arne Warnke
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Katerina Zahradova

prerequisites

Streaming ConceptsIntroduction to Shell
Mike Metzger HeadshotMike Metzger

Data Engineer Consultant @ Flexible Creations

Mike is a consultant focusing on data engineering and analysis using SQL, Python, and Apache Spark among other technologies. He has a 20+ year history of working with various technologies in the data, networking, and security space.
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