kafka consulting support

Course Objectives

The lessons and activities in this course enable participants to build the skills to: 

• Write Producers and Consumers to send data to and read data from Kafka
• Integrate Kafka with external systems using Kafka Connect
• Write streaming applications with Kafka Streams & ksqlDB
• Integrate a Kafka client application with Confluent Cloud

Hands-on Training

Several of the hands-on lab exercises in this course follow the story of building and upgrading a driver location app. Throughout the course concepts are applied directly to a working application. Exercises are available in Java, C# and Python.

Exercises include:
• Working with Kafka command line tools
• Producing driver location data to Kafka and consuming that data in real-time
• Refactoring the application to use Avro and Schema Registry
• Pulling the driver data into a Kafka Streams app to enrich it
• Extracting a table from an external database into Kafka using Kafka Connect
• Exploring data using ksqlDB
• Experimenting with semantic partitioning

Prerequisites

Attendees should be familiar with developing professional apps in Java (preferred), C#, or Python. Additionally, a working knowledge of the Apache Kafka architecture is required for this course, either through:

• Prior experience, or
• By taking Confluent Fundamentals for Apache Kafka, which can be accessed here

Participants are required to provide a laptop computer with unobstructed internet access to fully participate in the class. To evaluate your Kafka knowledge for this course, please complete the self-assessment: https://cnfl.io/fundamentals-quiz