Apache Kafka - Real-time Stream Processing (Master Class) - Kafka Streams API - Quick Start

This video tutorial introduces Kafka Streams, a client library for processing data stored in Kafka. It covers the differences between Streams DSL and Processor API, emphasizing the ease of use of Streams DSL for most applications. The tutorial guides viewers through creating a simple Kafka Streams application, detailing the configuration process, defining computational logic, and managing the application's lifecycle. The focus is on building a topology using Streams DSL and understanding the importance of configurations like application ID and bootstrap server.

What is Kafka Streams and what are its core functionalities?

Explain the difference between the streams DSL and processor API in Kafka Streams.

What are the four basic configurations needed to create a Kafka Streams application?

How does the Kafka Streams application handle serialization and deserialization?

Describe the process of defining the computational logic in a Kafka Streams application.

What is a topology in the context of Kafka Streams, and how is it created?

What steps are involved in starting a Kafka Streams application?

What is the purpose of a shutdown hook in a Kafka Streams application?

How can you print messages from a Kafka stream to the console?

What are the key components of a Kafka Streams application that you learned in this lecture?