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Kafka Streams – Become a Streams Superhero (SpringBoot 2024)

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Rating4.6
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Kafka Streams – Become a Streams Superhero (SpringBoot 2024), available at $19.99, has an average rating of 4.6, with 87 lectures, based on 20 reviews, and has 124 subscribers.

You will learn about Build Kafka stream application Understand the basics of Kafka streams in depth Learn how to debug the Kafka streams library Understand how to perform joins in Kafka streams Understand how to aggregate using Kafka streams Learn how to run Kafka UI Understand Serdes and how to build custom serdes Difference between Kafka streams and regular Kafka consumer How to use Kafka stream using Spring boot What is the co-partition What is DSL and how it related to the Processor API (PAPI) Learn to use KStream, KTable and GlobalKTable This course is ideal for individuals who are Experienced Kafka devloper or Developer that wishes to learn in depth Kafka streams or Developer who uses Kafka streams and need a detailed videos for each topic It is particularly useful for Experienced Kafka devloper or Developer that wishes to learn in depth Kafka streams or Developer who uses Kafka streams and need a detailed videos for each topic.

Enroll now: Kafka Streams – Become a Streams Superhero (SpringBoot 2024)

Summary

Title: Kafka Streams – Become a Streams Superhero (SpringBoot 2024)

Price: $19.99

Average Rating: 4.6

Number of Lectures: 87

Number of Published Lectures: 87

Number of Curriculum Items: 87

Number of Published Curriculum Objects: 87

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • Build Kafka stream application
  • Understand the basics of Kafka streams in depth
  • Learn how to debug the Kafka streams library
  • Understand how to perform joins in Kafka streams
  • Understand how to aggregate using Kafka streams
  • Learn how to run Kafka UI
  • Understand Serdes and how to build custom serdes
  • Difference between Kafka streams and regular Kafka consumer
  • How to use Kafka stream using Spring boot
  • What is the co-partition
  • What is DSL and how it related to the Processor API (PAPI)
  • Learn to use KStream, KTable and GlobalKTable

Who Should Attend

  • Experienced Kafka devloper
  • Developer that wishes to learn in depth Kafka streams
  • Developer who uses Kafka streams and need a detailed videos for each topic

Target Audiences

  • Experienced Kafka devloper
  • Developer that wishes to learn in depth Kafka streams
  • Developer who uses Kafka streams and need a detailed videos for each topic

Kafka, a name that resonates deeply within the tech community, is a distributed event streaming platform designed to handle high volumes of data in real-time. It has revolutionized the way businesses process and analyze data, making it an indispensable tool for modern-day enterprises.

Enter Kafka Streams – a powerful client library for building applications and microservices. With Kafka Streams, you can effortlessly process, analyze, and react to those streams of data in real-time. The advantages are numerous: from its fault-tolerance and scalability to its ability to process data in a timely manner, Kafka Streams stands out as a game-changer.

So, what can you expect from this course?

  • Time Efficiency: Why spend countless hours trying to grasp Kafka Streams when you can leverage my experience? I’ve distilled years of knowledge into a concise course, enabling you to become proficient in just a few hours.

  • Hands-On Expertise: This course isn’t just about theory. With detailed practices and exercises, you’ll not only learn but also apply your knowledge, ensuring you emerge as a Kafka Streams expert.

  • Easy Reference: As you embark on your own Kafka Streams projects, this course will serve as a valuable resource. With lectures organized into dedicated and easily navigable topics, you can quickly refer back to any section for clarity or guidance.

  • Engaging Learning Experience: I believe that when you enjoy the learning process, you retain and understand more. This course is designed to be both informative and engaging, ensuring that you not only learn but also enjoy the journey.

In conclusion, this course offers a comprehensive, hands-on, and enjoyable learning experience. My hope is that as you dive into the world of Kafka Streams with me, you’ll find the content both enlightening and enjoyable. Because the more you enjoy, the more you learn.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Running Kafka

Lecture 2: Kafka Streams vs. Regular Kafka

Lecture 3: Project setup

Lecture 4: Course repo

Lecture 5: Before Starting

Chapter 2: Kafka Stream – Getting Started

Lecture 1: Topology

Lecture 2: Topology – Hands-on

Lecture 3: DSL vs. PAPI

Lecture 4: KStream

Lecture 5: The topics in the next lecture

Lecture 6: KStream – Hands-on

Lecture 7: KTable

Lecture 8: KTable – Hands-on

Lecture 9: GlobalKTable

Lecture 10: GlobalKTable – Hands-on

Lecture 11: Processor (PAPI)

Lecture 12: Processor (PAPI) – Hands-on

Lecture 13: State store

Lecture 14: Re-partition

Lecture 15: Serdes

Lecture 16: Serdes – Hands-on

Lecture 17: Tasks

Chapter 3: Join – Getting Started

Lecture 1: Introduction

Lecture 2: Co-partition

Chapter 4: Join – KStream-KStream

Lecture 1: KStream-KStream – Intro

Lecture 2: KStream-KStream – Hands-on

Chapter 5: Join – KStream-KTable

Lecture 1: KStream-KTable – Introduction

Lecture 2: KStream-KTable – Hands-on

Chapter 6: Join – KTable-KTable

Lecture 1: KTable-KTable – Introduction

Lecture 2: KTable-KTable – Hands-on

Chapter 7: Join – KStream-GlobalKTable

Lecture 1: KStream-GlobalKTable – Introduction

Lecture 2: KStream-GlobalKTable – Hands-on

Chapter 8: Aggregation – Getting started

Lecture 1: Introduction

Lecture 2: GroupBy & GroupByKey

Lecture 3: Count

Lecture 4: Reduce

Lecture 5: Aggregate

Chapter 9: Aggregation – GroupBy & GroupByKey

Lecture 1: Grouping – Methods review

Lecture 2: Grouping with KStream – Hands-on

Lecture 3: Grouping with KTable – Hands-on

Chapter 10: Aggregation – Count

Lecture 1: Count – Methods review

Lecture 2: Count with KStream – Hands-on

Lecture 3: Count with KTable – Hands-on

Chapter 11: Aggregation – Reduce

Lecture 1: Reduce – Methods review

Lecture 2: Reduce with KStream – Hands-on

Lecture 3: Reduce with KTable – Hands-on

Chapter 12: Aggregation – Aggregate

Lecture 1: Aggregate – Methods review

Lecture 2: Aggregate with KStream – Hands-on

Lecture 3: Aggregate with KTable – Hands-on

Chapter 13: Next sections

Lecture 1: Regarding the next sections

Chapter 14: Filter & Filter Not

Lecture 1: Introduction

Lecture 2: Methods Review

Lecture 3: Setup

Lecture 4: Implement

Lecture 5: Run

Lecture 6: Summary

Chapter 15: Map & MapValues

Lecture 1: Intorudction

Lecture 2: Methods Review

Lecture 3: Setup

Lecture 4: Implement

Lecture 5: Run

Lecture 6: Summary

Chapter 16: FlatMap & FlatMapValues

Lecture 1: Introduction

Lecture 2: Methods Review

Lecture 3: Setup

Lecture 4: Implement

Lecture 5: Run

Lecture 6: Summary

Chapter 17: SelectKey

Lecture 1: Introduction

Lecture 2: Methods Review

Lecture 3: Setup

Lecture 4: Implement

Lecture 5: Run

Lecture 6: Summary

Chapter 18: Merge

Lecture 1: Introduction

Lecture 2: Methods Review

Lecture 3: Setup

Lecture 4: Implement

Lecture 5: Run

Lecture 6: Summary

Chapter 19: Split

Lecture 1: Introduction

Instructors

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  • 5 stars: 16 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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