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Mastering Kafka Streams and ksqlDB : building real-time data systems by example /
"Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, Calif. :
O'Reilly Media, Inc.
[2021]
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Seymour, Mitch, |e author. | |
| 245 | 1 | 0 | |a Mastering Kafka Streams and ksqlDB : |b building real-time data systems by example / |c Mitch Seymour. |
| 246 | 3 | 0 | |a Building real time data systems by example |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, Calif. : |b O'Reilly Media, Inc. |c [2021] | |
| 264 | 4 | |c ©2021. | |
| 300 | |a 1 online resource (xix, 409 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 500 | |a Includes index. | ||
| 520 | |a "Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn: Basic and advanced uses of Kafka Streams and ksqlDB How to transform, enrich, and process event streams How to build both stateless and stateful stream processing applications The different notions of time and the role it plays in stream processing How to to build event-driven microservices on top of continuous event streams Features, operational characteristics, deployment patterns, and configuration tips for both technologies" --Provided by publisher. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Electronic data processing |x Structured techniques. | |
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| 776 | 0 | 8 | |i Print version: |z 1492062499 |z 9781492062493 |w (OCoLC)1191235747 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781492062486/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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