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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
Author Profile Icon Alexey Zinoviev
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

Setting up the project


Before writing code, let's remember the project requirements for the stream processing application. Recall that customer sees BTC price events happen in the customer's web browser and are dispatched to Kafka via an HTTP event collector. Events are created in an environment out of the control of Doubloon. The first step is to validate that the input events have the correct structure. Remember that defective events could create bad data (most data scientists agree that a lot of time could be saved if input data were clean).

Getting ready

Putting it all together, the specification is to create a stream application which does the following:

  • Reads individual events from a Kafka topic called raw-messages
  • Validates the event, sending any invalid message to a dedicated Kafka topic called invalid-messages
  • Writes the correct events to a Kafka topic called valid-messages, and writes corrupted messages to an invalid-messages topic

All this is detailed in the following diagram, the first...

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