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Apache Kafka Quick Start Guide

Apache Kafka Quick Start Guide

By : Estrada
3.5 (2)
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Apache Kafka Quick Start Guide

Apache Kafka Quick Start Guide

3.5 (2)
By: Estrada

Overview of this book

Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the ?y. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines. This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment. Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows.
Table of Contents (10 chapters)
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Reading from Kafka

Now that we have our project skeleton, let's recall the project requirements for the stream processing engine. Remember that our event customer consults ETH price occurs outside Monedero and that these messages may not be well formed, that is, they may have defects. The first step in our pipeline is to validate that the input events have the correct data and the correct structure. Our project will be called ProcessingEngine.

The ProcessingEngine specification shall create a pipeline application that does the following:

  • Reads each message from a Kafka topic called input-messages
  • Validates each message, sending any invalid event to a specific Kafka topic called invalid-messages
  • Writes the correct messages in a Kafka topic called valid-messages

These steps are detailed in Figure 2.1, the first sketch for the pipeline processing engine:

Figure 2.1: The processing...
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