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Apache Kafka 1.0 Cookbook

You're reading from   Apache Kafka 1.0 Cookbook Over 100 practical recipes on using distributed enterprise messaging to handle real-time data

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787286849
Length 250 pages
Edition 1st Edition
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Authors (2):
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Raúl Estrada Raúl Estrada
Author Profile Icon Raúl Estrada
Raúl Estrada
Alexey Zinoviev Alexey Zinoviev
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Alexey Zinoviev
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Toc

Table of Contents (11) Chapters Close

Preface 1. Configuring Kafka FREE CHAPTER 2. Kafka Clusters 3. Message Validation 4. Message Enrichment 5. The Confluent Platform 6. Kafka Streams 7. Managing Kafka 8. Operating Kafka 9. Monitoring and Security 10. Third-Party Tool Integration

Introduction

The first two chapters were focused on how to build a Kafka cluster, run a producer, and run a consumer. Now that we have a producer of events, we will process those events.

In a nutshell, event processing takes one or more events from an event stream and applies actions to those events. In general, an enterprise service bus has commodity services, the most common services are the following:

  • Event handling
  • Data transformation
  • Data mapping
  • Protocol conversion

The operation of processing events involves the following:

  • An event stream to filter some events from the stream
  • Event validation against an event schema
  • Event enrichment with additional data
  • Event composition (aggregation) to produce a new event from two or more events 

This chapter is about message validation, the following chapters will be about enrichment and composition.

Before going into...

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