Apache Kafka - Course introduction

Introduction to Apache Kafka Tutorial

This is the introductory lesson of the Apache Kafka tutorial, which is part of the Apache Kafka Certification Training.

This tutorial will give you an overview of the course, its prerequisites, and the value it will offer to you.

Let us explore the objectives in the next section.

Objectives

After completing this course, you will be able to:

  • Describe the importance of Big Data

  • Describe the fundamental concepts of Kafka

  • Describe the architecture of Kafka

  • Explain how to install and configure Kafka

  • Explain how to use Kafka for real-time messaging

Let us explore the Apache Kafka Tutorial Overview in the next section.

Apache Kafka Tutorial Overview

At the end of this Apache kafka tutorial, you will have a comprehensive understanding of:

  • Real-time big data

  • Kafka origin and features

  • Kafka architecture and data model

  • Kafka installation, configuration, and monitoring

  • Interfaces to Kafka

Let us explore the target audience of Apache Kafka Tutorial in the next section.

Target Audience

The target audience for this course includes:

  • Professionals aspiring for a career in big data

  • Analytics professionals

  • Research professionals

  • IT developers

  • Testers

  • Project Managers

It also includes students and those looking for a change in career.

In the next section of the Apache Kafka tutorial, we’ll discuss its prerequisites.

Wish to have in-depth knowledge about the Apache Kafka platform? Click here to know more!

Apache Kafka Course Prerequisites

The prerequisites for this course include knowledge of any messaging system, basic knowledge of Java or any programming language. Some knowledge of Linux or Unix-based systems is desired.

Let us explore the lessons covered in Apache Kafka Tutorial in the next section.

Lessons Covered

There are five lessons in this Apache Kafka course. Take a look at the lesson names that are listed below.

Lesson No

Chapter Name

What You’ll Learn

Lesson 1

Big Data Overview

After completing this lesson, you will be able to:

  • Describe Big Data.

  • List the three V’s of Big Data.

  • List the various data sizes used for Big Data. Describe Apache Hadoop.

  • Explain the concepts of real-time Big Data processing.

  • List some tools that handle real-time Big Data.

Lesson 2

Introduction to ZooKeeper

After completing this lesson, you will be able to:

  • Describe what ZooKeeper is and how it functions.

  • Explain some of the common problems of distributed systems.

  • Illustrate the data model for ZooKeeper.

  • Compare how the two types of znodes are different from each other.

Lesson 3

Introduction to Kafka

After completing this lesson, you will be able to:

  • Define Kafka

  • Describe some use cases for Kafka

  • Describe the Kafka data model

  • Describe Kafka architecture

  • List the types of messaging systems

  • Explain the importance of brokers

Lesson 4

Installation and Configuration

After completing this lesson, you will be able to:

  • Demonstrate how to install Kafka on an Ubuntu system

  • List the recommended machine configurations to install Kafka

  • Demonstrate how to configure Kafka Demonstrate how to run Kafka on an Ubuntu system

  • Describe the steps required to install Kafka

Lesson 5

Kafka Interfaces

After completing this lesson, you will be able to:

  • Identify interfaces to Kafka

  • Explain how to use producer APIs, to create messages

  • Explain how to use consumer APIs, to read messages

  • List the steps to compile and run a Java Program for Kafka

Conclusion

With this, we come to an end about what this Apache Kafka tutorial includes. In the next chapter, we will discuss the Big Data Overview which has already been covered as a part of Apache Storm tutorial.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.

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