Kafka Streams in Action. Dieser Artikel ist nicht verfügbar.Kafka Streams in Action

Summary

Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort.

Foreword by Neha Narkhede, Cocreator of Apache Kafka

About the Technology

Not all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application.

About the Book

Kafka Streams in Action 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 even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging.

What's inside

• Using the KStreams API
• Filtering, transforming, and splitting data
• Working with the Processor API
• Integrating with external systems

About the Reader

Assumes some experience with distributed systems. No knowledge of Kafka or streaming applications required.

About the Author

Bill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience.

Table of Contents

PART 1 - GETTING STARTED WITH KAFKA STREAMS
1. Welcome to Kafka Streams
2. Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT
3. Developing Kafka Streams
4. Streams and state
5. The KTable API
6. The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS
7. Monitoring and performance
8. Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS
9. Advanced applications with Kafka StreamsAPPENDIXES
10. Appendix A - Additional configuration information
11. Appendix B - Exactly once semantics

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 KafkaR project.