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Apache Kafka Quick Start Guide

You're reading from   Apache Kafka Quick Start Guide Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788997829
Length 186 pages
Edition 1st Edition
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Author (1):
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Raúl Estrada Raúl Estrada
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Raúl Estrada
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Table of Contents (10) Chapters Close

Preface 1. Configuring Kafka FREE CHAPTER 2. Message Validation 3. Message Enrichment 4. Serialization 5. Schema Registry 6. Kafka Streams 7. KSQL 8. Kafka Connect 9. Other Books You May Enjoy

Avro in a nutshell

Apache Avro is a binary serialization format. The format is schema-based so, it depends on the definition of schemas in JSON format. These schemas define which fields are mandatory and their types. Avro also supports arrays, enums, and nested fields.

One major advantage of Avro is that it supports schema evolution. In this way, we can have several historical versions of the schema.

Normally, the system must adapt to the changing needs of the business. For this reason, we can add or remove fields from our entities, and even change the data types. To support forward or backward compatibility, we must consider which fields are indicated as optional.

Because Avro converts the data into arrays of bytes (serialization), and Kafka's messages are also sent in binary data format, with Apache Kafka, we can send messages in Avro format. The real question is, where...

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