本书于2017-08由 Packt 出版，作者 Manish Kumar, Chanchal Singh，全书269页。

关注大数据猿(bigdata_ai)公众号及时获取最新大数据相关电子书、资讯等

通过本书你将学到以下知识

• Learn the basics of Apache Kafka from scratch
• Use the basic building blocks of a streaming application
• Design effective streaming applications with Kafka using Spark, Storm &, and Heron
• Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system
• Make effective capacity planning while deploying your Kafka Application
• Understand and implement the best security practices

如果想及时了解Spark、Hadoop或者Hbase相关的文章，欢迎关注微信公共帐号：iteblog_hadoop

本书的章节

1. Introduction to Messaging Systems
2. Introducing Kafka the Distributed Messaging Platform
3. Deep Dive into Kafka Producers
4. Deep Dive into Kafka Consumers
5. Building Spark Streaming Applications with Kafka
6. Building Storm Applications with Kafka
7. Using Kafka with Confluent Platform
8. Building ETL Pipelines Using Kafka
9. Building Streaming Applications Using Kafka Streams
10. Kafka Cluster Deployment
11. Using Kafka in Big Data Applications
12. Securing Kafka
13. Streaming Application Design Considerations

下载地址

提供了PDF 和 azw3 格式的电子书下载。

点击进入下载