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Apache Kafka in 16 Hours Course Overview

Apache Kafka in 16 Hours Course Overview

Course Overview: Apache Kafka in 16 Hours

Prerequisites: Basic knowledge of Linux
Duration: 2 Days (8 Hrs./Day)

This intensive two-day Apache Kafka course is designed to provide a solid foundation in Kafka, blending theoretical concepts and hands-on practical experience. By the end, participants will understand essential Kafka components, its architecture, and setting up/managing Kafka clusters.

Day 1 covers event streaming, brokers, topics, producers, consumers, partitions, replication, Kafka Connect and Streams, message delivery guarantees, and more.

Day 2 focuses on practical application, including setting up Kafka with single and multi-broker configurations using Docker, and basic operations for topics, producers, and consumers.

This course equips you to efficiently manage and deploy Kafka clusters in real-world scenarios.

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Course Prerequisites

Prerequisites for Apache Kafka in 16 Hours Course:


  • Basic knowledge of Linux operating system.

Target Audience for Apache Kafka in 16 Hours

Apache Kafka in 16 Hours is an intensive course aimed at IT professionals who want to gain a comprehensive understanding of Apache Kafka, including theoretical concepts and hands-on practical experience.


  • Software Developers
  • System Administrators
  • IT Architects
  • Data Engineers
  • DevOps Engineers
  • Software Engineers
  • Technical Managers
  • Data Analysts
  • IT Consultants
  • Cloud Engineers
  • Database Administrators
  • Solutions Architects
  • Full Stack Developers
  • Backend Developers
  • Middleware Administrators
  • Site Reliability Engineers (SREs)


Learning Objectives - What you will Learn in this Apache Kafka in 16 Hours?

Apache Kafka in 16 Hours

Introduction

Our "Apache Kafka in 16 Hours" course aims to provide a thorough understanding of Apache Kafka's core concepts and practical use. By the end of this two-day course, participants will be able to confidently set up, manage, and utilize Kafka clusters.

Learning Objectives and Outcomes

  • Understanding Kafka Architecture: Gain a comprehensive understanding of Kafka's architecture, including brokers, topics, partitions, and replication.
  • Event Streaming and Use Cases: Learn about event streaming, its importance, and various use cases where Kafka can be applied.
  • Producer and Consumer Design: Understand the design principles behind Kafka producers and consumers, including message delivery guarantees.
  • Kafka Components: Explore Kafka Connect, Kafka Streams, and their roles within the ecosystem.
  • Setup and Configuration: Acquire hands-on experience in setting up both single-broker and multi-broker Kafka clusters using Docker.
  • Basic Kafka Operations: Perform basic operations with Kafka topics, producers, and consumers through practical labs.
  • Batch Processing: Learn about batch processing for improved efficiency in handling event streams.
  • Replication and Quotas: Understand the concepts of replication and quotas to ensure data durability and system scalability.
  • **

Target Audience for Apache Kafka in 16 Hours

Apache Kafka in 16 Hours is an intensive course aimed at IT professionals who want to gain a comprehensive understanding of Apache Kafka, including theoretical concepts and hands-on practical experience.


  • Software Developers
  • System Administrators
  • IT Architects
  • Data Engineers
  • DevOps Engineers
  • Software Engineers
  • Technical Managers
  • Data Analysts
  • IT Consultants
  • Cloud Engineers
  • Database Administrators
  • Solutions Architects
  • Full Stack Developers
  • Backend Developers
  • Middleware Administrators
  • Site Reliability Engineers (SREs)


Learning Objectives - What you will Learn in this Apache Kafka in 16 Hours?

Apache Kafka in 16 Hours

Introduction

Our "Apache Kafka in 16 Hours" course aims to provide a thorough understanding of Apache Kafka's core concepts and practical use. By the end of this two-day course, participants will be able to confidently set up, manage, and utilize Kafka clusters.

Learning Objectives and Outcomes

  • Understanding Kafka Architecture: Gain a comprehensive understanding of Kafka's architecture, including brokers, topics, partitions, and replication.
  • Event Streaming and Use Cases: Learn about event streaming, its importance, and various use cases where Kafka can be applied.
  • Producer and Consumer Design: Understand the design principles behind Kafka producers and consumers, including message delivery guarantees.
  • Kafka Components: Explore Kafka Connect, Kafka Streams, and their roles within the ecosystem.
  • Setup and Configuration: Acquire hands-on experience in setting up both single-broker and multi-broker Kafka clusters using Docker.
  • Basic Kafka Operations: Perform basic operations with Kafka topics, producers, and consumers through practical labs.
  • Batch Processing: Learn about batch processing for improved efficiency in handling event streams.
  • Replication and Quotas: Understand the concepts of replication and quotas to ensure data durability and system scalability.
  • **