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Apache Kafka Guide #2: Topics, Partitions, and Offsets Explained with Real-World Examples
Apache Kafka From Zero to Hero | Part 2
In the previous article, we explored what Apache Kafka is, why it was developed, and how it helps applications exchange data without creating tightly coupled integrations.
Now, let’s understand three fundamental building blocks of Kafka:
Topics, Partitions, and Offsets.
These concepts explain how Kafka organizes messages, distributes data, maintains ordering, and allows applications to process continuous streams of events.
1. Kafka Topics
What is a Kafka topic?
A Kafka topic is a named logical stream of records where producers publish messages and consumers read them.
Think of a topic as a dedicated channel for a particular category of information.
For example, an organization might create the following topics:
Each topic represents a separate logical stream of data.










