Kafka for Developers - Data Contracts using Schema Registry

About Kafka for Developers - Data Contracts using Schema Registry

This course is structured to give you a theoretical and coding experience of Building Kafka Applications using AVRO and Schema Registry.

If you are looking forward to learning the below-listed things:

Techniques that are available to evolve the data between the applications that uses Kafka as a Streaming Platform

 Use a compact data format like AVRO to exchange data between the applications

Use Schema Registry and its benefits

Enforcing Data Contracts between applications that uses Kafka as a Streaming Platform

Handle Data evolution gracefully using Schema Registry

Then this is the right course for you. This is a pure hands-on oriented course where you will be learning the concepts through code.

By the end of this course, you will have a complete understanding of these concepts:

Use AVRO as a data serialization format

Evolution of the data using Schema Registry

Getting Started with Kafka

In this section, I will give you all an introduction to the course and what to expect from this course.

Data Contract & Serialization in Kafka

Learn "How serialization is connected to Kafka" and how it benefits the overall Kafka architecture.

We will look into different Serialization formats and the support for Schema in AVRO, Protobuf and Thrift

Introduction to AVRO - A data serialization system

An introduction to AVRO and why AVRO is popular to work with Kafka and Schema Registry.

Learn to build a simple AVRO schema.

Kafka Setup & Demo in Local Using Docker

In this section , we will setup Kafka in local, Produce and Consume messages using Kafka Console Producer and Consumer.

Greeting App - Base AVRO Project SetUp - Gradle

We will set up the base project for the greeting app which we can use to generate the Java Classes from the Greetings schema using Gradle build tool.

Greeting App - Base AVRO Project SetUp - Maven

We will set up the base project for the greeting app which we can use to generate the Java Classes from the Greetings schema using Maven build tool.

Build AVRO Producer and Consumer in Java

We will learn to build a Kafka Producer to publish AVRO records in to the Kafka topic.

We will learn to build a Kafka Consumer to consume AVRO records from the Kafka topic.

CoffeeShop Order Service Using AVRO - A Real time use Case

We will build a AVRO schema for a real time use case and build Kafka Producers and Consumers to it.

Logical Types in AVRO

I will cover the different logical types in AVRO and how to use them.

TimeStamp

Decimal

UUID

Date

AVRO Record- Under the Hood

Anatomy of an AVRO record when the data is published and consumed as AVRO record

Schema Changes in AVRO

Demonstration of how the consumer breaks with changing business requirements

Data Evolution using Schema Registry

Cover the different techniques of evolving a Schema with the changing business requirements.

I will cover the different Compatibility techniques to share data between the producer and consumer applications

Backward Compatibility

Forward Compatibility

Full Compatibility

None Compatibility

Schema Naming Strategies

I will cover the different naming strategies for Schema and how its impacts the application events.

TopicName Strategy

RecordName Strategy

TopicRecordName Strategy

Build a Coffee Order Service using SpringBoot & Schema Registry

In this section, we will code and build a Spring Boot Kafka application that exchanges the data in an AVRO format and interacts with Schema Registry for data evolution.

Build a RestFul service to publish the events through which we receive events through the rest interface and then publish them to Kafka

By the end of this course, you will have a complete understanding of these concepts:

Use AVRO as a data serialization format

Evolution of the data using Schema Registry