Book Image

Apache Kafka Quick Start Guide

By : Raúl Estrada
Book Image

Apache Kafka Quick Start Guide

By: Raúl 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)

Kafka Streams in a nutshell

Kafka Streams is a library and part of Apache Kafka, used to process streams into and from Kafka. In functional programming, there are several operations over collections, such as the following:

  • filter
  • map
  • flatMap
  • groupBy
  • join

The success of streaming platforms such as Apache Spark, Apache Flink, Apache Storm, and Akka Streams is to incorporate these stateless functions to process data streams. Kafka Streams provides a DSL to incorporate these functions to manipulate data streams.
Kafka Streams also has stateful transformations; these are operations related to the aggregation that depend on the state of the messages as a group, for example, the windowing functions and support for late arrival data. Kafka Streams is a library, and this means that Kafka Streams applications can be deployed by executing your application jar. There is no need to deploy...