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Kafka Streams with Spring Cloud Stream

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Kafka Streams with Spring Cloud Stream, available at $69.99, has an average rating of 4.5, with 51 lectures, based on 358 reviews, and has 4652 subscribers.

You will learn about Designing, Developing and Testing Stream Processing Applications Spring Cloud Streams and Kafka Streams Architecture Kafka Streams Binder Implementation for Spring Cloud Streams Kafka Streams DSL and Programing with Kafka Streams API Working with JSON, AVRO, and other Custom Serializations Handling Errors and Exception Exactly Once Implementation with Kafka Streams Unit Testing Kafka Streams Application This course is ideal for individuals who are Software Engineers and Architects who are willing to design and develop a Stream Processing Application using Kafka Streams Library. or Spring Boot Programmers aspiring to learn everything necessary to start implementing real-time streaming applications using Apache Kafka It is particularly useful for Software Engineers and Architects who are willing to design and develop a Stream Processing Application using Kafka Streams Library. or Spring Boot Programmers aspiring to learn everything necessary to start implementing real-time streaming applications using Apache Kafka.

Enroll now: Kafka Streams with Spring Cloud Stream

Summary

Title: Kafka Streams with Spring Cloud Stream

Price: $69.99

Average Rating: 4.5

Number of Lectures: 51

Number of Published Lectures: 51

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 51

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Designing, Developing and Testing Stream Processing Applications
  • Spring Cloud Streams and Kafka Streams Architecture
  • Kafka Streams Binder Implementation for Spring Cloud Streams
  • Kafka Streams DSL and Programing with Kafka Streams API
  • Working with JSON, AVRO, and other Custom Serializations
  • Handling Errors and Exception
  • Exactly Once Implementation with Kafka Streams
  • Unit Testing Kafka Streams Application

Who Should Attend

  • Software Engineers and Architects who are willing to design and develop a Stream Processing Application using Kafka Streams Library.
  • Spring Boot Programmers aspiring to learn everything necessary to start implementing real-time streaming applications using Apache Kafka

Target Audiences

  • Software Engineers and Architects who are willing to design and develop a Stream Processing Application using Kafka Streams Library.
  • Spring Boot Programmers aspiring to learn everything necessary to start implementing real-time streaming applications using Apache Kafka

About the Course

I am creating Kafka Streams with Spring Cloud Streams to help you understand stream processing in general and apply it to Kafka Streams Programming using Spring Boot.

My approach to creating this course is a progressive common-sense approach to teaching a complex subject. Using this unique approach, I will help you apply your general ability to perceive, understand, and reason the concepts progressively that I am explaining in this course.

Who should take this Course?

Kafka Streams with Spring Cloud Streamscourse is designed for software engineers willing to develop a stream processing application using the Kafka Streams library and Spring Boot. I am also creating this course for data architects and data engineers responsible for designing and building the organization’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Kafka implementation, but they work with the people who implement Kafka Streams at the ground level.

Kafka Version used in the Course

This course is using the Kafka Streams library compatible with Spring Cloud 2020. I have tested all the source code and examples used in this course on Confluent Platform 6.0.0which is compatible with Apache Kafka 2.6 open source distribution.

Source Code, Development IDE, Build Tool, Logging, and Testing Tools

This course is fully example-driven, and I will be creating many examples in the class. The source code files for all the examples are included in your study material.

This course will be making extensive use of IntelliJ IDEAas the preferred development IDE. However, based on your prior experience, you should be able to work with any other IDE designed for Spring application development.

This course will be using Apache Maven and Gradle as the preferred build tool. However, based on your prior experience, you should be able to use any other build tool designed for Java applications.

This course also makes use of Log4J2 to teach you industry-standard log implementation in your application.

We will be using JUnit5, which is the latest version of JUnit, for implementing Unit Test Cases.

Example and Exercises

Working examples and exercises are the most critical tool to convert your knowledge into a skill. I have already included a lot of examples in the course. This course also consists of some programming assignments as and when appropriate. These exercises will help you validate and check your concepts and apply your learning to solve programming problems.

Course Curriculum

Chapter 1: Before you begin

Lecture 1: About the course

Lecture 2: Course Prerequisite

Lecture 3: Setting Up Your Development Environment

Lecture 4: Source Code and Other Resources

Lecture 5: Creating your starter project

Chapter 2: Environment setup on Windows Machine

Lecture 1: Installing Confluent Kafka – Windows WSL

Lecture 2: Creating your first Kafka Streams project – Windows

Chapter 3: Environment Setup on Mac Machine

Lecture 1: Installing Confluent Kafka – Mac

Lecture 2: Creating your first Kafka Streams project – Mac

Chapter 4: Understanding the technology stack

Lecture 1: Understanding Kafka Support in Spring

Lecture 2: Introduction to Spring Cloud Streams

Lecture 3: Introduction to Kafka Streams

Chapter 5: Producing Data to Kafka

Lecture 1: Simple RESTful Kafka Producer

Lecture 2: Creating Retail POS Simulator

Lecture 3: Producing JSON Messages

Lecture 4: Producing AVRO Messages

Chapter 6: Processing Kafka Streams

Lecture 1: Real-time Stream Processing – Requirement

Lecture 2: Processing JSON Message Stream

Lecture 3: Real-life Serialization Scenarios

Lecture 4: Processing AVRO message Stream

Lecture 5: Understanding Record Serialization

Lecture 6: KStream Methods

Chapter 7: Working with KStream

Lecture 1: Kafka Streams Exactly Once

Lecture 2: Implementing Exactly Once

Lecture 3: Let's Practice – A Complex Problem Statement

Lecture 4: Working with XML Inputs

Lecture 5: Handling Errors and Exceptions

Lecture 6: Mixed Branching of a KStream

Lecture 7: Handling Poisson Pills

Chapter 8: KTable and Aggregations

Lecture 1: Introducing KTable

Lecture 2: Deep Dive into KTable

Lecture 3: Computing Streaming Aggregates

Lecture 4: Aggregation Concepts

Lecture 5: Reducing A Kafka Stream

Lecture 6: Aggregating a Kafka Stream

Lecture 7: Aggregation Challenges

Lecture 8: KTable Aggregation

Chapter 9: Timestamp and Windowing Aggregates

Lecture 1: Kafka Time Semantics

Lecture 2: Windowing Aggregates

Lecture 3: Tumbling Window Vs Hopping Time Window

Lecture 4: Session Windows

Chapter 10: Joins in Kafka Streams

Lecture 1: Joins in Kafka Stream

Lecture 2: KStream to KStream Joins

Lecture 3: KTable to KTable Join

Lecture 4: KStream to KTable Join

Lecture 5: Implementing Complex Aggregation

Chapter 11: Kafka Streams in Functional Style and Unit Testing

Lecture 1: Stream Listener Manual Testing

Lecture 2: Stream Listeners Automating Test Cases

Lecture 3: Functional Style of Converting Stream Listeners

Chapter 12: Keep Learning

Lecture 1: Final Word

Lecture 2: Bonus Lecture : Get Extra

Instructors

Rating Distribution

  • 1 stars: 13 votes
  • 2 stars: 3 votes
  • 3 stars: 28 votes
  • 4 stars: 112 votes
  • 5 stars: 202 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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