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Kafka for Developers

Kafka for Developers

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Kafka for Developers

Kafka for Developers teaches programmers how to use Apache Kafka to build applications that move and process data efficiently. It acts like a backbone for connecting different services and making sure data flows without interruptions. For instance, real-time stock trading apps, recommendation systems, or fraud detection systems often use Kafka to keep everything running smoothly.

Developers who master Kafka can design applications that handle millions of data events per second while ensuring accuracy and resilience. This knowledge makes them valuable in any organization that depends on real-time data and modern distributed systems.

Who should take the Exam?

This exam is ideal for:

  • Software Developers
  • Data Engineers
  • Backend Developers
  • Big Data Specialists
  • Cloud Engineers
  • DevOps Engineers

Skills Required

  • Basic knowledge of programming (Java, Python, or Scala)
  • Understanding of databases and messaging systems
  • Problem-solving and debugging skills
  • Familiarity with distributed systems is helpful

Course Outline

Domain 1 - Introduction to Kafka

Domain 2 - Kafka Setup and Configuration

Domain 3 - Producers and Consumers

Domain 4 - Kafka Streams and Processing

Domain 5 - Data Pipelines with Kafka

Domain 6 - Managing Kafka

Domain 7 - Advanced Kafka Development

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Kafka for Developers FAQs

RabbitMQ is a messaging system, while Kafka is a distributed streaming platform built for scale.

No, but having some background helps in understanding real-world use cases.

 

Yes, Kafka is free and widely supported by the open-source community.

 

A topic is a category or stream name where records are published.

Yes, Kafka works on AWS, Azure, GCP, and other cloud platforms.

 

Yes, it’s often used to feed real-time data into machine learning models.

 

Data engineers, backend developers, and DevOps professionals.

Kafka expertise is highly valued as more industries rely on real-time data processing.

Yes, it’s designed to handle millions of events per second.

 

Finance, e-commerce, telecom, IoT, and cloud services.

 

It can seem complex at first, but with step-by-step practice, it becomes manageable.

No, Kafka complements databases by handling real-time data streams, not storage.

 

While Kafka is often used with Java, it also supports Python, Scala, and other languages.

No, it’s useful for both startups and large enterprises that need real-time data handling.

 

Kafka is used for processing and moving data in real time between systems.