Table of Contents; Foreword; Preface; Who Should Read This Book; Conventions Used in This Book; Using Code Examples; O’Reilly Safari; How to Contact Us; Acknowledgments; Chapter 1. Meet Kafka; Publish/Subscribe Messaging; How It Starts; Individual Queue Systems; Enter Kafka; Messages and Batches; Schemas; Topics and Partitions; Producers and Consumers; Brokers and Clusters; Multiple Clusters; Why Kafka?; Multiple Producers; Multiple Consumers; Disk-Based Retention; Scalable; High Performance; The Data Ecosystem; Use Cases; Kafka’s Origin; LinkedIn’s Problem; The Birth of Kafka; Open Source.
Format | |
---|---|
Book Author | Gwen, Narkhede, Neha;Palino, Todd;Shapira |
Pages | 321, pages |
Publisher | Incorporated, Media, O'Reilly |
Language | English |
Publication Date | 2017 |
Be the first to review “Kafka: Real-Time Data and Stream Processing at Scale” Cancel reply
You must be logged in to post a review.
Related products
- Sale!
- Sale!
- Sale!
- Sale!
Bestsellers
-
Vanuatu & New Caledonia
$15.00$5.99 -
Covenant
$14.95$5.99 -
The new way of the world: on neo-liberal society
$15.00$5.99 -
The Ash Moon
$15.00$5.99 -
Uncuffed
$15.00$5.99
Reviews
There are no reviews yet.