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Kafka Streams - Become a Streams Superhero
Rating: 4.7 out of 5(27 ratings)
202 students

Kafka Streams - Become a Streams Superhero

Your Complete Guide to Mastery: A Journey to Become a Kafka Streams Superhero in Real-Time Data Processing!
Created byGuy Grinberg
Last updated 12/2024
English

What you'll 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

Course content

20 sections87 lectures7h 1m total length
  • Kafka Streams vs. Regular Kafka5:31
  • Running Kafka3:53
  • Project setup9:47
  • Course repo0:02
  • Before Starting0:21

Requirements

  • Knowledge of Kafka
  • Knowledge in Java

Description

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.

Who this course is for:

  • 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