Apache Kafka - Real-time Stream Processing (Master Class) - Creating and using AVRO schema in Kafka Streams

What is the primary focus of this lecture regarding Kafka Streams?

• Learning about Kafka Connect

• Implementing Avro serialization in Kafka Streams

• Using JSON serialization in Kafka Streams

• Setting up a Kafka broker

What is the purpose of the Confluent Schema Registry in this context?

• To store Kafka topics

• To manage Avro schemas

• To monitor Kafka performance

• To handle JSON serialization

Which tool is used to manage dependencies in the project?

• SBT

• Maven

• Ant

• Gradle

Which library is essential for Kafka Streams in this project?

• Kafka Clients

• Kafka Producer

• Kafka Streams

• Kafka Connect

Why can't the schema definitions from the JSON project be reused?

• They are too complex

• They are specific to JSON

• They are outdated

• They are not compatible with Kafka

What additional schema definitions are needed beyond the initial three?

• Transaction and Payment

• Notification and Hadoop record

• Product and Category

• User and Order

What is the main change needed in the Serde class for Avro?

• Updating the Kafka broker version

• Changing the database connection

• Switching from JSON to Avro serialization

• Using a different logging framework

What is a common issue when copying code from one project to another?

• Network errors

• Security vulnerabilities

• Compilation errors

• Memory leaks

What is a critical step after setting up the Serde for Avro?

• Running a Kafka broker

• Testing the application

• Deploying to production

• Writing documentation

What type of testing is emphasized as important in real-life projects?

• Unit and integration testing

• Security testing

• Manual testing

• Load testing