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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
Author Profile Icon Raúl Estrada
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

Summary

Kafka Streams is a powerful library, and is the only option when building data pipelines with Apache Kafka. Kafka Streams removes much of the boilerplate work needed when implementing plain Java clients. Compared to Apache Spark or Apache Flink, the Kafka Streams applications are much simpler to build and manage.

We also have seen how to improve a Kafka Streams application to deserialize data in JSON and Avro formats. The serialization part (writing to a topic) is very similar since we are using SerDes that are capable of both data serialization and deserialization.

For those who work with Scala, there is a library for Kafka Streams called circe that offers SerDes to manipulate JSON data. The circe library is the equivalent in Scala of the Jackson library.

As mentioned earlier, Apache Beam has a more complex suite of tools, but is totally focused on Stream management...

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