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DATA-ENGINEERING

Streaming Data Engineering with Kafka

Build real-time data pipelines with Apache Kafka — topics, producers, consumers, and stream processing.

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Streaming Data Engineering with Kafka
data-engineeringStreaming Data Engineering with Kafka

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Course Details

What you'll learn

Why This Course

Kafka has moved to KRaft consensus, removing the ZooKeeper dependency — this course teaches current Kafka architecture, not the legacy setup.

What You’ll Learn

  • Kafka architecture (KRaft mode)
  • Producers, consumers, and delivery guarantees
  • Kafka Streams for stream processing
  • Schema management

Curriculum

  1. Kafka Architecture & KRaft Mode
  2. Topics & Partitions
  3. Producers & Consumers
  4. Kafka Streams
  5. Schema Registry
  6. Capstone: Real-Time Streaming Pipeline

Who Should Attend

Data engineers building real-time data systems.

Prerequisites

Basic Java or Python; distributed systems concepts helpful.

Hands-on Labs

Practice what you learn.

Hands-on lab availability is shown in the course details and enrolment information.

Ask About Labs →
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Part Of A Larger Path

This course is one stage in the Data Engineering Learning Path

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