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Kafka Streams in Action : Real-Time Apps and Microservices with the Kafka Streams API by William P. Bejeck Jr. (2018, Trade Paperback)
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Kafka Streams in Action: Real-time apps and microservices with the Kafka Streams API
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About this product
Product Identifiers
PublisherManning Publications Co. LLC
ISBN-101617294470
ISBN-139781617294471
eBay Product ID (ePID)237449249
Product Key Features
Number of Pages280 Pages
Publication NameKafka Streams in Action : Real-Time Apps and Microservices with the Kafka Streams Api
LanguageEnglish
Publication Year2018
SubjectProgramming Languages / Java, Web / Web Programming, Programming / Open Source
TypeTextbook
AuthorWilliam P. Bejeck Jr.
Subject AreaComputers
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight19 Oz
Item Length9.2 in
Item Width7.3 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2018-286666
Dewey Edition23
IllustratedYes
Dewey Decimal005.7/1273
SynopsisKafka Streams is a library designed to allow for easy stream processing of data flowing into a Kafka cluster. Stream processing has become one of the biggest needs for companies over the last few years as quick data insight becomes more and more important but current solutions can be complex and large, requiring additional tools to perform lookups and aggregations. Kafka Streams in Action teaches readers everything they need to know to implement stream processing on data flowing into their Kafka platform, allowing them to focus on getting more from their data without sacrificing time or effort. By the end of the book, readers will be ready to use Kafka Streams in their projects to reap the benefits of the insight their data holds quickly and easily., Kafka Streams is a library designed to allow for easy streamprocessing of data flowing into a Kafka cluster. Stream processing hasbecome one of the biggest needs for companies over the last few yearsas quick data insight becomes more and more important but currentsolutions can be complex and large, requiring additional tools toperform lookups and aggregations. Kafka Streams in Action teaches readers everything they need to knowto implement stream processing on data flowing into their Kafkaplatform, allowing them to focus on getting more from their datawithout sacrificing time or effort. By the end of the book, readers willbe ready to use Kafka Streams in their projects to reap the benefits ofthe insight their data holds quickly and easily. KEY FEATURES* Hands-on lessons* Step-by-step instructions* Thorough introduction to Kafka Streams This book is suitable for all Java (or JVM language) developerslooking to discover the world of stream processing and its manybenefits. Knowledge of Kafka is not required, but would be a bonus. ABOUT THE TECHNOLOGYKafka Streams is a library that allows you to perform per-eventprocessing of records. AUTHOR BIOBill Bejeck is a Kafka Streams contributor with over 13 years of softwaredevelopment experience. With 6 years working exclusively on the back-endand large data volumes, Bill currently uses Kafka to improve data flow todownstream customers., 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, 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 is a library designed to allow for easy stream processing of data flowing into a Kafka cluster. Stream processing has become one of the biggest needs for companies over the last few years as quick data insight becomes more and more important but current solutions can be complex and large, requiring additional tools to perform lookups and aggregations. Kafka Streams in Action teaches readers everything they need to know to implement stream processing on data flowing into their Kafka platform, allowing them to focus on getting more from their data without sacrificing time or effort. By the end of the book, readers will be ready to use Kafka Streams in their projects to reap the benefits of the insight their data holds quickly and easily. KEY FEATURES * Hands-on lessons * Step-by-step instructions * Thorough introduction to Kafka Streams This book is suitable for all Java (or JVM language) developers looking to discover the world of stream processing and its many benefits. Knowledge of Kafka is not required, but would be a bonus. ABOUT THE TECHNOLOGY Kafka Streams is a library that allows you to perform per-event processing of records. AUTHOR BIO Bill Bejeck is a Kafka Streams contributor with over 13 years of software development experience. With 6 years working exclusively on the back-end and large data volumes, Bill currently uses Kafka to improve data flow to downstream customers.
LC Classification NumberQA76.9.B45
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