本书于2017-08由Packt Publishing出版，作者Ankit Jain, 全书341页。

通过本书你将学到以下知识

• Understand the core concepts of Apache Storm and real-time processing
• Follow the steps to deploy multiple nodes of Storm Cluster
• Create Trident topologies to support various message-processing semantics
• Make your cluster sharing effective using Storm scheduling
• Integrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more
• Monitor the health of your Storm cluster

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本书的章节

1. REAL-TIME PROCESSING AND STORM INTRODUCTION
2. STORM DEPLOYMENT, TOPOLOGY DEVELOPMENT, AND TOPOLOGY OPTIONS
3. STORM PARALLELISM AND DATA PARTITIONING
4. TRIDENT INTRODUCTION
5. TRIDENT TOPOLOGY AND USES
6. STORM SCHEDULER
7. MONITORING OF STORM CLUSTER
8. INTEGRATION OF STORM AND KAFKA
9. STORM AND HADOOP INTEGRATION
10. STORM INTEGRATION WITH REDIS, ELASTICSEARCH, AND HBASE
11. APACHE LOG PROCESSING WITH STORM
12. TWITTER TWEET COLLECTION AND MACHINE LEARNING

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