Topics, Partitions, and Offsets

The video introduces Kafka topics, comparing them to database tables, and explains how they are structured with partitions and offsets. It provides a practical example using truck GPS data to illustrate how Kafka topics work. The video also covers data management aspects like order, retention, and immutability, concluding with a call to practice the concepts discussed.

What are the implications of having multiple partitions for a topic?

How does Kafka ensure the order of messages within a partition?

What happens to the data in Kafka after a certain period, and what is the default retention time?