Course Outline


Overview of Apache Kafka Features and Architecture for Python

  • Core APIs (producer, consumer, streams, connector)
  • Concepts and uses

Accessing Kafka in Python

  • Available Python libraries for use
  • Compression formats supported

Installing Apache Kafka

  • Computer installation
  • Virtual private server and virtual machine installation

Starting Kafka Broker Server

  • Reading and editing using an IDE (Integrated Development Environment)
  • Running Zookeeper
  • Logs folder

Creating a Kafka Topic

  • Connecting to a Kafka cluster
  • Reading topic details

Sending Messages Using Producers

  • Initiating a producer
  • Examining incoming messages
  • Running multiple producers

Consuming Messages

  • Kafka Console Consumer
  • Running multiple consumers


Summary and Conclusion


  • Experience with Python programming language
  • Familiarity with stream-processing platforms


  • Data engineers
  • Data scientists
  • Programmers
  7 Hours


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