Description: A major feature of Apache Kafka is building real-time applications that react to data streams. In this course, you will discover how to create real-time applications in Kafka.

Target Audience: Developers, IT Operations engineers, and DevOPs engineers looking to implement and manage Apache Kafka

Duration: 01:03

Description: What makes Apache Kafka so powerful and fault-tolerant is its clustering capabilities. In this course, you will learn how to create and manage clusters in Kafka.

Target Audience: Developers, IT Operations engineers, and DevOPs engineers looking to implement and manage Apache Kafka

Duration: 00:59

Description: Apache Kafka can easily integrate with Apache Storm to allow processing of the data entered into Kafka. In this course, you will learn how to integrate Kafka with Storm.

Target Audience: Developers, IT Operations engineers, and DevOPs engineers looking to implement and manage Apache Kafka

Duration: 00:50

Description: Apache Kafka can easily integrate with Apache Spark to allow processing of the data entered into Kafka. In this course, you will discover how to integrate Kafka with Spark.

Target Audience: Developers, IT Operations engineers, and DevOPs engineers looking to implement and manage Apache Kafka

Duration: 01:07

Description: Apache Kafka comes with a set of APIs for consumers and producers for writing to and reading from logs. This course covers the producer and consumer APIs, and data serialization and deserialization techniques, and strategies for testing Kafka.

Target Audience: Developers, IT Operations engineers, and DevOPs engineers looking to implement and manage Apache Kafka

Duration: 01:24

Description: Apache Kafka's unique architecture enables huge scalability, but it must be deployed and managed in a considered fashion. This course covers the basic concepts of Apache Kafka, and considerations for deploying Kafka and managing servers.

Target Audience: Developers, IT Operations engineers, and DevOPs engineers looking to implement and manage Apache Kafka

Duration: 02:16