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Kafka Streams for Software Developers

Delve into Kafka Streams for real-time data processing. Gain insights into Kafka concepts, CLI tools, complex topologies, and Spring Boot integration, enabling you to build scalable, resilient applications.

Intermediate

45 Lessons

7h

Certificate of Completion

Delve into Kafka Streams for real-time data processing. Gain insights into Kafka concepts, CLI tools, complex topologies, and Spring Boot integration, enabling you to build scalable, resilient applications.
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Explanations

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Explanations

This course includes

1 Project
25 Playgrounds
6 Quizzes
Course Overview
What You'll Learn
Course Content
Recommendations

Course Overview

Kafka Streams is a Java library designed to develop applications and microservices tailored for real-time data stream processing. Harnessing Kafka’s capabilities, applications constructed using Kafka Streams exhibit exceptional scalability and fault tolerance. This versatile tool finds applications in various scenarios and domains. The course starts with an introduction to Kafka Streams. Next, you will learn important Kafka concepts and gain experience using Kafka CLI tools. Then, you will learn how to bui...Show More
Kafka Streams is a Java library designed to develop applications and microservices tailored for real-time data stream processing. Harnessing Kafka’s capabilities, applications constructed using Kafka Streams exhibit exceptional scalability and fault tolera...Show More

What You'll Learn

An understanding of Apache Kafka concepts and CLI tools application
Hands-on experience building stateless and stateful topologies using Kafka Streams
Working knowledge of error handling in Kafka Streams applications
Familiarity with building Kafka Streams applications using Spring Boot
An understanding of Apache Kafka concepts and CLI tools application

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Course Content

1.

Kafka Streams Overview

5 Lessons

Get familiar with real-time data processing, Kafka Streams architecture, and practical applications.

4.

Error Handling

4 Lessons

Break down the steps to manage error handling in Kafka Streams applications effectively.

8.

Wrap Up

1 Lessons

Build on your knowledge of real-time stream processing and Kafka Streams integration.

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