Kafka Streams in Action, Second Edition
eBook - ePub

Kafka Streams in Action, Second Edition

  1. 504 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Kafka Streams in Action, Second Edition

About this book

Everything you need to implement stream processing on Apache Kafka using Kafka Streams and the kqsIDB event streaming database. Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you'll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you'll need for effective streaming—from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and Schema Registry. In Kafka Streams in Action, Second Edition 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


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 that makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates. Foreword by Jun Rao. About the technology Enterprise applications need to handle thousands—even millions—of data events every day. With an intuitive API and flawless reliability, the lightweight Kafka Streams library has earned a spot at the center of these systems. Kafka Streams provides exactly the power and simplicity you need to manage real-time event processing or microservices messaging. About the book Kafka Streams in Action, Second Edition teaches you how to create event streaming applications on the amazing Apache Kafka platform. This thoroughly revised new edition now covers a wider range of streaming architectures and includes data integration with Kafka Connect. As you go, you'll explore real-world examples that introduce components and brokers, schema management, and the other essentials. Along the way, you'll pick up practical techniques for blending Kafka with Spring, low-level control of processors and state stores, storing event data with ksqlDB, and testing streaming applications. What's inside

  • Design efficient streaming applications
  • Integrate external systems with Kafka Connect
  • Enforce data compatibility with Schema Registry


About the reader For Java developers. 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. Table of Contents PART 1
1 Welcome to the Kafka event streaming platform
2 Kafka brokers
PART 2
3 Schema Registry
4 Kafka clients
5 Kafka ConnectPART 3
6 Developing Kafka Streams
7 Streams and state
8 The KTable API
9 Windowing and timestamps
10 The Processor API
11 ksqlDB
12 Spring kafka
13 Kafka Streams Interactive Queries
14 Testing

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Yes, you can access Kafka Streams in Action, Second Edition by Bill Bejeck in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in Java. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Praise for the first edition
  2. Kafka Streams in Action
  3. copyright
  4. contents
  5. foreword
  6. preface
  7. acknowledgments
  8. about this book
  9. about the author
  10. about the cover illustration
  11. Part 1
  12. 1 Welcome to the Kafka event streaming platform
  13. 2 Kafka brokers
  14. Part 2
  15. 3 Schema Registry
  16. 4 Kafka clients
  17. 5 Kafka Connect
  18. Part 3
  19. 6 Developing Kafka Streams
  20. 7 Streams and state
  21. 8 The KTable API
  22. 9 Windowing and timestamps
  23. 10 The Processor API
  24. 11 ksqlDB
  25. 12 Spring Kafka
  26. 13 Kafka Streams Interactive Queries
  27. 14 Testing
  28. appendix A Schema compatibility workshop
  29. appendix B Confluent resources
  30. appendix C Working with Avro, Protobuf, and JSON Schema
  31. appendix D Understanding Kafka Streams architecture