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Event Streaming with Kafka Streams and ksqlDB

William P. Bejeck Jr.
  • MEAP began December 2020
  • Publication in July 2021 (estimated)
  • ISBN 9781617298684
  • 325 pages (estimated)
  • printed in black & white

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Look inside
Everything you need to implement stream processing on Apache KafkaⓇ using Kafka Streams and the kqsIDB event streaming database.

This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database purpose-built for stream processing applications.

In Event Streaming with Kafka Streams and ksqlDB you’ll learn how to:

  • Design streaming applications in Kafka Streams with the KStream and the Processor API
  • Integrate external systems with Kafka Connect
  • Enforce data compatibility with Schema Registry
  • Build applications that respond immediately to events in either Kafka Streams or ksqlDB
  • Craft materialized views over streams with ksqlDB

about the technology

The lightweight Kafka Streams library provides exactly the power and simplicity you need for event-based applications, real-time event processing, and message handling in microservices. The ksqlDB database makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates.

about the book

Event Streaming with Kafka Streams and ksqlDB teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you’ll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You’ll also dive into processing event data with ksqlDB. Practical to the very end, it finishes with testing and operational aspects, such as monitoring, debugging, and gives you the opportunity to explore a few end-to-end projects.

about the reader

Assumes experience with building Java applications, concepts like threading, serialization, and with distributed systems. No knowledge of Kafka or streaming applications required.

about the author

Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache KafkaⓇ project.

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