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Kafka: Real-Time Data and Stream Processing at Scale

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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

PDF

Book Author

Gwen, Narkhede, Neha;Palino, Todd;Shapira

Pages

321, pages

Publisher

Incorporated, Media, O'Reilly

Language

English

Publication Date

2017

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