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Kafka Streams in Action
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SummaryKafka 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 KafkaPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyNot all stream-based applications require a dedicated processing cluster. The lightweig…
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- Autors: William P. Bejeck Jr.
- Izdevējs Manning
- Gads: 2018
- Lapas: 350
- ISBN-10 : 1617294470
- ISBN-13 : 9781617294471
- Formāts: 18.9 x 23.7 x 1.7 cm, minkšti viršeliai
- Valoda: Anglų
- Extra -10% atlaide, ievadot kodu: EXTRA
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Apraksts
SummaryKafka 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
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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
Welcome to Kafka Streams
Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT
Developing Kafka Streams
Streams and state
The KTable API
The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS
Monitoring and performance
Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS
Advanced applications with Kafka StreamsAPPENDIXES
Appendix A - Additional configuration information
Appendix B - Exactly once semantics
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- Autors: William P. Bejeck Jr.
- Izdevējs Manning
- Gads: 2018
- Lapas: 350
- ISBN-10: 1617294470
- ISBN-13: 9781617294471
- Formāts 18.9 x 23.7 x 1.7 cm, minkšti viršeliai
- Valoda: Anglų
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
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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
Welcome to Kafka Streams
Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT
Developing Kafka Streams
Streams and state
The KTable API
The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS
Monitoring and performance
Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS
Advanced applications with Kafka StreamsAPPENDIXES
Appendix A - Additional configuration information
Appendix B - Exactly once semantics
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
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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
Welcome to Kafka Streams
Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT
Developing Kafka Streams
Streams and state
The KTable API
The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS
Monitoring and performance
Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS
Advanced applications with Kafka StreamsAPPENDIXES
Appendix A - Additional configuration information
Appendix B - Exactly once semantics
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