Confluent Schema Registry & REST Proxy using Avro Course Overview

Minimum Required Prerequisites for the Confluent Schema Registry & REST Proxy using Avro Course:

• Basic knowledge of Apache Kafka (familiarity with Kafka architecture, producers, consumers, and topics)
• Basic programming skills in Java (understanding of Java syntax and basic constructs)
• Experience with using command-line interfaces (comfortable with basic commands in Linux/Unix environments)

These prerequisites will ensure that participants have a foundational understanding to successfully follow the course content and make the most of the hands-on labs. If you meet these basic requirements, you’re ready to dive into Confluent Schema Registry and REST Proxy using Avro!

Target Audience for Confluent Schema Registry & REST Proxy using Avro

1. A comprehensive two-day course on Confluent Schema Registry & REST Proxy using Avro, aimed at professionals looking to deepen their knowledge of Avro schemas and their integration with Apache Kafka.

2.

• Data Engineers
• Kafka Developers
• Software Engineers
• Data Architects
• Backend Developers
• DevOps Engineers
• System Administrators
• Solutions Architects
• IT Managers
• Technical Leads
• Middleware Administrators
• Enterprise Architects
• Big Data Engineers
• Data Integration Specialists
• Technical Consultants

Learning Objectives - What you will Learn in this Confluent Schema Registry & REST Proxy using Avro?

Confluent Schema Registry & REST Proxy using Avro Course Overview

This two-day intensive course equips participants with a thorough understanding of Avro schemas, their integration with Apache Kafka, and the utilization of Confluent's Schema Registry and REST Proxy.

Learning Objectives and Outcomes

• Comprehensive Understanding of Avro Schemas: Gain expertise in Avro primitive, complex, and logical types.
• Schema Definitions: Learn to define Avro record schemas and handle the complex case of decimals.
• Avro in Java: Develop skills in using Avro with Java, including working with Generic and Specific records, utilizing Avro tools, and handling schema evolution.
• Lab Exercises: Engage in hands-on labs to reinforce learning, including working with Generic and Specific records, Avro tools, reflection, and schema evolution in Avro.
• Confluent Schema Registry: Understand the purpose and functionalities of Confluent Schema Registry.
• Kafka Integration: Learn how to produce and consume Avro data using Kafka Avro console producer and consumer.
• Develop Kafka Producers and Consumers: Build Kafka producers and consumers in Java to work with Avro data.
• Kafka Schema Registry: A deep dive into Kafka Schema