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Can I read Kafka: the Definitive Guide : Real-time Data and Stream Processing at Scale on EtoBox?

Kafka: the Definitive Guide : Real-time Data and Stream Processing at Scale by Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty, Neha Narkhede is a nonfiction available to read on EtoBox.

What is Kafka: the Definitive Guide : Real-time Data and Stream Processing at Scale about?

"Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer"--

Who reads Kafka: the Definitive Guide : Real-time Data and Stream Processing at Scale?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty, Neha Narkhede
Publisher
O'REILLY MEDIA, INC, USA
Published
2021
Language
EN
ISBN
9781492043089
Category
nonfiction
Subjects
Computer Science, Programming, Stem
Rating
4.08 / 5 (37 ratings)
Updated
2026-03-14

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