Understanding Kafka Topics: How Data is Transferred

📋Kafka topics are streams of data within a Kafka cluster that can handle millions of topics and partitions.

💡Kafka topics support any kind of message format, making them flexible for different use cases.

🔒Kafka topics are immutable and cannot be updated or deleted. Data can only be added.

🌐Kafka eliminates the need for direct connections between services and data producers, providing a centralized data streaming platform.

🔄Kafka topics are divided into partitions, which enable horizontal scaling and high throughput.

What are Kafka topics?

—Kafka topics are streams of data within a Kafka cluster that can handle millions of topics and partitions. They support any kind of message format and are immutable.

Can Kafka topics be queried like database tables?

—No, Kafka topics cannot be queried. Instead, data can be added to them using Kafka Producers.

What are the advantages of using Kafka for companies?

—Kafka eliminates the need for direct connections between services and data producers, providing a centralized data streaming platform. It enables high throughput and supports flexible message formats.

How are Kafka topics divided?

—Kafka topics are divided into partitions, which enable horizontal scaling and increase throughput. Each partition has a unique ID called a Kafka partition offset.

Are Kafka topics scalable?

—Yes, Kafka topics can be scaled horizontally by adding more partitions. More partitions result in higher parallelism and throughput.

00:00In the previous video, we discussed why companies decide to use Apache Kafka.

00:05This video focuses on how data is transferred in Kafka, specifically through Kafka topics.

00:11Kafka topics are streams of data within a Kafka cluster.

00:17A Kafka cluster can have as many topics as needed, and they can handle millions of topics and partitions.

00:22Kafka topics support any kind of message format, such as JSON, Avro, text, or binary.

00:27Topics in Kafka are similar to tables in a database, but without constraints and data verification.

00:30Kafka topics cannot be queried, and data can only be added using Kafka Producers.

01:36Kafka topics are divided into partitions, which enable horizontal scaling and high throughput.