Kafka & Event Streaming Engineering

1

Introduction to streaming with Kafka

Apache Kafka fundamentals: architecture, key concepts, and usage patterns for analytics.

2

Kafka: fundamentals and architecture

Internal Kafka architecture: broker, replication, leader election, and delivery guarantees.

Prerequisites: 1

3

Producer, Consumer, and Serialization

Implement robust Kafka producers and consumers with optimal serialization patterns for analytics.

Prerequisites: 1

4

Kafka Connect: code-free integration

How to use Kafka Connect to integrate databases, file systems, and external services without writing consumer/producer code.

Prerequisites: 1

5

Schema Registry and event governance

Managing schema evolution with Schema Registry and ensuring compatibility.

Prerequisites: 1

6

Kafka Streams: processing events with Java

Introduction to Kafka Streams for stateful transformations on event streams without an external cluster.

Prerequisites: 1

7

Operations: monitoring and managing Kafka in production

Monitoring, tuning, and operational management of a Kafka cluster in production.

Prerequisites: 1

8

Cheat Sheet — Kafka and Stream Processing

Quick operational reference for Kafka: commands, configurations, and main patterns.

Prerequisites: 1

9

Project: end-to-end Kafka pipeline

Build a complete pipeline with Kafka, producer, consumer, and Kafka Streams.

Prerequisites: 1