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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850

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Course Fee 850
Total Fees
850 (USD)
  • Live Training (Duration : 16 Hours)
  • Per Participant
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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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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.
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