Kafka streams in action event-driven applications and microservices

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 explor...

Full description

Bibliographic Details
Main Author: Bejeck, William P.
Other Authors: Rao, Jun (writer of foreword)
Format: eBook
Language:English
Published: Shelter Island, NY Manning Publications 2024
Edition:Second edition
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
LEADER 01970nmm a2200373 u 4500
001 EB002216768
003 EBX01000000000000001353729
005 00000000000000.0
007 cr|||||||||||||||||||||
008 240701 ||| eng
020 |a 9781617298684 
050 4 |a QA76.76.A65 
100 1 |a Bejeck, William P. 
245 0 0 |a Kafka streams in action  |b event-driven applications and microservices  |c William P. Bejeck Jr. ; foreword by Jun Rao 
250 |a Second edition 
260 |a Shelter Island, NY  |b Manning Publications  |c 2024 
300 |a 504 pages  |b illustrations 
653 |a Application software / Development / http://id.loc.gov/authorities/subjects/sh95009362 
653 |a Apache Kafka (Electronic resource) 
653 |a Electronic data processing / Management 
653 |a En continu (Télécommunications) 
653 |a Streaming technology (Telecommunications) / http://id.loc.gov/authorities/subjects/sh99000996 
653 |a Logiciels d'application / Développement 
700 1 |a Rao, Jun  |e writer of foreword 
041 0 7 |a eng  |2 ISO 639-2 
989 |b OREILLY  |a O'Reilly 
500 |a Includes index 
776 |z 1617298689 
776 |z 9781617298684 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781617298684/?ar  |x Verlag  |3 Volltext 
082 0 |a 005.7/1273 
082 0 |a 384 
082 0 |a 658 
520 |a 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