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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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Serialization

In modern (internet) computing, we often forget that entities must be transmitted from one computer to another. In order to be able to transmit the entities, they must first be serialized.

Serialization is the process of transforming an object into a stream of bytes commonly used to transmit it from one computer to another.

Deserialization, as the name implies, is the opposite of serialization, that is, to convert a stream of bytes into an object (for didactic purposes, we can say that the object is inflated or rehydrated), normally from the side that receives the message. Kafka provides Serializer/Deserializer (SerDe) for the primitive data types (byte, integer, long, double, String, and so on).

In this chapter, a new company is introduced: Kioto (standing for Kafka Internet of Things). This chapter covers the following topics:

  • How to build a Java PlainProducer...

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