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Module 1: Introduction to Kafka

30 minutes2 examplesBeginner

Hands-on Examples

Interactive examples to reinforce your learning

Understanding Kafka Concepts

Visual representation of Kafka components and their relationships

Code Example

# Kafka Architecture Overview

Producer → Topic (Partitioned) → Broker → Consumer

# Example Topic Structure
user-events:
├── Partition 0: [msg1, msg4, msg7, ...]
├── Partition 1: [msg2, msg5, msg8, ...]
└── Partition 2: [msg3, msg6, msg9, ...]

# Consumer Group Example
Consumer Group "analytics":
├── Consumer 1 → Partition 0
├── Consumer 2 → Partition 1
└── Consumer 3 → Partition 2

# Message Flow
1. Producer sends message to topic
2. Broker stores message in partition
3. Consumer reads from partition
4. Offset tracks consumer position

Expected Output:

Kafka provides a distributed, fault-tolerant, and scalable platform for real-time data streaming.

Explanation:

This diagram shows how Kafka components work together to create a robust messaging system. The partitioned topic structure allows for parallel processing and high throughput.

Course Navigation

Module 1: Introduction to Kafka

Module 2: The Problem Statement

Module 3: How Kafka Solves the Problem

Module 4: Kafka Architecture (Deep Dive)

Module 5: Consumer Groups in Kafka

Module 6: Kafka Setup & Hands-On

Module 7: Kafka with Python

Module 8: Kafka Monitoring & Optimization

Module 9: Final Project - Real-Time Analytics Platform

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