Apache Kafka - Real-time Stream Processing (Master Class)

🎓 Course Title: Apache Kafka - Real-time Stream Processing (Master Class)

Course Headline:

Processing Real-time Streams using Apache Kafka and Kafka Streams API - Start as Beginner to Finish as PRO

About the Course 🚀

Kafka Streams - Real-time Stream Processing is a comprehensive course designed to demystify stream processing and apply the concepts specifically to Kafka Streams programming. This course is an expansion of my book "Kafka Streams - Real-time Stream Processing," which is available with all major online retailers in both eBook and Paperback formats.

My approach to creating this course is a progressive, common-sense approach tailored for teaching complex subjects. I will guide you through the concepts progressively, enabling you to perceive, understand, and reason your way through the material with ease.

Who Should Take This Course? 🤔

This course is specifically designed for Software Engineers who are looking to develop stream processing applications using the Kafka Streams library. It is also ideal for Data Architects and Data Engineers tasked with designing and building the data infrastructure of an organization. Furthermore, it caters to Managers and Architects overseeing Kafka implementations at a strategic level.

Kafka Version used in the Course 📚

The course is built around the Apache Kafka 2.x version, with a focus on the Kafka Streams library. The examples and source code have been thoroughly tested on Apache Kafka 2.3, an open-source distribution. Additionally, we will explore functionalities available in the Confluent Community Version of Kafka, such as Schema Registry and Avro Serdes.

Tools & Technologies 🛠️

This course is fully example-driven, with all examples accompanied by their source code included in your study material. You will learn using:

• IntelliJ IDEA as the preferred development IDE (other Java IDEs are also acceptable)
• Apache Maven as the preferred build tool (alternative build tools for Java applications can be used)
• Log4J2 for implementing industry-standard logging in your application
• JUnit5 for writing and executing unit test cases

Hands-on Learning with Examples and Exercises 🧪

Knowledge becomes skill when applied. This course includes a plethora of examples to illustrate concepts and reinforce learning. You will also find objective questions and programming assignments that are essential for solidifying your understanding and applying what you've learned to solve real-world problems.

Curriculum Overview:

1. Introduction to Apache Kafka and Kafka Streams

   • What is Apache Kafka?
   • Understanding the Kafka Streams API

2. Kafka Architecture

   • Kafka Brokers and Topics
   • Producers and Consumers
   • Message Serialization and Deserialization

3. Stream Processing Concepts

   • Windowing and Aggregation
   • Time-windowed Aggregations
   • State Stores and State Management

4. Developing Kafka Streams Applications

   • Setting up the Development Environment
   • Creating a Kafka Streams Topology
   • Implementing Real-time Processing Scenarios

5. Advanced Kafka Streams Features

   • Global and Local KTable Queries
   • Aggregations and Windowing
   • Complex Event Processing Patterns

6. Testing Kafka Streams Applications

   • Unit Testing with JUnit5
   • Integration Testing Strategies
   • Monitoring and Alerting in Production Environments

7. Operational Aspects of Kafka Streams

   • Deployment, Scaling, and Upgrades
   • Best Practices for Operating Kafka Streams Applications

8. Real-time Use Cases

   • Implementing a Real-time Dashboard
   • Fraud Detection with Kafka Streams
   • Log Processing and Analysis

By the end of this course, you will have a deep understanding of real-time stream processing using Apache Kafka and Kafka Streams API. You'll be equipped to design, build, test, and maintain robust and scalable Kafka Streams applications, ready to tackle complex data processing challenges head-on. 🚀

Join me on this journey to master the art of real-time stream processing with Apache Kafka. Let's begin as beginners and finish as true professionals in this domain.