English | Size: 705.15 MB
Genre: eLearning
What you’ll learn
Write simple and complex Avro Schemas
Create, Write and Read Avro objects in Java
Write a Java Producer and Consumer leveraging Avro data and the Schema Registry
Learn about Schema Evolution
Perform Schema evolution using the command line and in Java
Utilize the REST Proxy using a REST Client
The new volume in the Apache Kafka Series!
Learn Apache Avro, the Confluent Schema Registry for Apache Kafka and the Confluent REST Proxy for Apache Kafka. Join hundreds of knowledge savvy students into learning some of the most important components in a typical Apache Kafka stack.
Apache Avro is one of the most powerful and most popular fast data serialisation mechanism with Apache Kafka
> Schema is a first class citizen of the data
> Data serialisation format that is lightweight
> Documentation is embedded in the schema
> Easy to read and write using many languages
> Fast & Big data de-facto data serialisation format
Confluent Schema Registry for Apache Kafka is the de-facto standard way of storing Avro Schemas for your Apache Kafka Topics.
> Stores a versioned history of all your schemas in Apache Kafka
> Supports and enforces conditions for schema evolution (backward, forward, full compatibility)
> Kafka Avro Serialiser and Deserialiser automatically integrate with Apache Kafka and Confluent Schema Registry
> Make your messages much smaller and lighter! Perfect for increasing Apache Kafka throughput and performance
Confluent REST Proxy is the perfect way to communicate for sending Avro data using non Java languages to Apache Kafka.
> Write and Read binary, JSON and Avro data to Apache Kafka using an HTTP REST API
> Interact with Apache Kafka using any programming language (not just Java)
> Consult topic list and topic metadata in Apache Kafka
Section outline:
Course Introduction: Let’s learn why we need Schema, and what the target Kafka architecture will look like.
Avro Schemas: Master how to write simple and complex Avro Schemas for your Kafka messages, as well as Schema Evolution rules and guidelines.
Avro in Java: Learn how to create Avro records using GenericRecord, SpecificRecord, and ReflectedRecord. Also perform your first schema evolution in Java.
Setup and Launch Kafka: Install Docker and use Docker Compose to start your Apache Kafka Cluster that will contain the Confluent Schema Registry and the Kafka REST Proxy.
Confluent Schema Registry and Kafka: Learn what is the Confluent Schema Registry, how it works. Learn to use the Kafka Avro Console Producer & Consumer, and write your first Apache Kafka Avro Java Producer and Avro Java Consumer. Perform a fully compatible schema evolution
Confluent REST Proxy: Learn how to use the REST Proxy with a REST Client (Insomnia) in order to interface with Apache Kafka using REST. Understand how to read Kafka topic metadata, produce and consume binary, JSON and Avro data
Annexes: Extra Apache Kafka lectures to push your learning further
Who this course is for:
Developers who would like to learn how to write and run an application that leverages Avro and the Schema Registry
Architects who want to understand the role of the Schema Registry and REST Proxy in an enterprise pipeline
This course is intended for people who fully understand the basics of Kafka
People who want to learn the Confluent Components: Schema Registry and REST Proxy
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