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Apache Kafka and Integration with Spring (Beginner)

Course outline

1 day
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Duration

Apache Kafka and Integration with Spring (Beginner)

1 day

Overview

Apache Kafka is a robust, distributed streaming platform that facilitates the real-time handling of large volumes of data across multiple systems. Initially developed by LinkedIn and later released as an open-source project under the Apache Software Foundation, Kafka is engineered to meet the demands of high throughput, low latency, and scalability in modern data streaming applications. This beginner-friendly course aims to provide participants with a fundamental understanding of Apache Kafka, emphasizing its importance in real-time data processing and its integration with the Spring framework.

Course Objectives

  • Understand Kafka’s Basics: Learn the fundamentals of Kafka’s architecture and its essential components, including producers, consumers, brokers, topics, and partitions.
  • Install and Configure Kafka: Gain practical skills in setting up and managing Kafka clusters, including installation, configuration, and using Kafka’s Command Line Interface (CLI) tools.
  • Develop with Kafka APIs: Acquire the ability to use Kafka Producer and Consumer APIs to handle data streams effectively, covering key aspects like configuration and message handling.
  • Integrate Kafka with Spring: Explore how to integrate Kafka with the Spring framework to develop enterprise-level applications, covering message production, consumption, and error handling.

Pre-requisite

  • Basic Knowledge Required: Basic understanding of Java and Spring Boot is necessary to get the most out of this course.

Target Audience

  • Who Should Attend: Ideal for software developers, data engineers, DevOps professionals, data analysts, and enterprise architects looking to leverage real-time data streaming for building scalable applications and robust data infrastructures.

Course Methodology

  • Learning Approach: The course combines theoretical lectures with hands-on labs to provide a well-rounded learning experience, ensuring participants gain both conceptual knowledge and practical skills in Apache Kafka.

Course Outline

Introduction to Spring Integration

  • Overview of Spring Integration
  • What is Spring Integration?
  • Key concepts and components
  • Messaging Patterns
  • Channels, Endpoints, and Messages
  • Enterprise Integration Patterns (EIP)

Introduction to Apache Kafka

  • Overview of Kafka
  • What is Kafka?
  • Kafka Architecture: Brokers, Topics, Partitions, Replication
  • Kafka Key Concepts
  • Producers, Consumers, and Consumer Groups
  • Kafka Streams

Setting Up the Environment

  • Installing and Configuring Kafka
  • Downloading and setting up Kafka locally
  • Configuring Kafka brokers and Zookeeper
  • Setting Up Spring Boot Project
  • Initializing a Spring Boot project
  • Adding dependencies for Spring Integration and Kafka

Spring Integration Basics

  • Spring Integration Configuration
  • XML vs. Java DSL configuration
  • Creating a Simple Spring Integration Flow
  • Creating channels, endpoints, and message flows
  • Lab: Building a Simple Integration Flow
  • Hands-on exercise to create a basic Spring Integration flow

Kafka Basics

  • Kafka Producer and Consumer API
  • Writing a simple producer and consumer
  • Lab: Simple Kafka Producer and Consumer
  • Hands-on exercise to create a basic producer and consumer

Programme scope, delivery arrangements and suitability are confirmed during enquiry.