• Title: Kafka: The Definitive Guide: Real-time data and stream processing at scale
• Author: Gwen Shapira, Neha Narkhede, Todd Palino
• Length: 300 pages
• Edition: 1
• Language: English
• Publisher: O'Reilly Media
• Publication Date: 2016-07-25
• ISBN-10: 1491936169
• ISBN-13: 9781491936160
  

【格式 true PDF】


Book Description

Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you’ll understand how Kafka works and how it’s designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure, tune, and monitor them; write rock-solid applications that use Kafka; and build scalable stream-processing applications.

• Learn how Kafka compares to other queues, and where it fits in the big data ecosystem
• Dive into Kafka’s internal design
• Pick up best practices for developing applications that use Kafka
• Understand the best way to deploy Kafka in production monitoring, tuning, and maintenance tasks
• Learn how to secure a Kafka cluster
• Get detailed use-cases
  

Table of Contents

Chapter 1. Meet Kafka
Chapter 2. Installing Kafka
Chapter 3. Kafka Producers - Writing Messages to Kafka
Chapter 4. Kafka Consumers - Reading Data from Kafka
Chapter 5. Kafka Internals
Chapter 6. Reliable Data Delivery
Chapter 7. Building Data Pipelines
Chapter 8. Cross-Cluster Data Mirroring
Chapter 9. Administering Kafka
Chapter 10. Stream Processing
Chapter 11. Case Studies
Appendix A. Installing Kafka on Other Operating Systems