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Learning Storm by Ankit Jain, Anand Nalya-P2P

Starting with the very basics of Storm, you will learn how to set up Storm on a single machine and move on to deploying Storm on your cluster. You will understand how Kafka can be integrated with Storm using the Kafka spout.

You will then proceed to explore the Trident abstraction tool with Storm to perform stateful stream processing, guaranteeing single message processing in every topology. You will move ahead to learn how to integrate Hadoop with Storm. Next, you will learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, and Kafka to realize the full potential of Storm.

Finally, you will perform in-depth case studies on Apache log processing and machine learning with a focus on Storm, and through these case studies, you will discover Storm’s realm of possibilities.

Learning Storm by Ankit Jain, Anand Nalya-P2P
English | 2014 | 252 Pages | ISBN: 1783981326 | PDF (conv) | 3,26 MB


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  1. 学习Storm学习Storm的基础知识,比如如何在单机上安装Storm并迁移到集群上部署。你将学习到如何使用Kafka与Storm相集成。 接下来你将使用Storm学习Trident抽象工具,用以执行状态流处理,确保在每个拓扑中的信息流被处理到。你将学习如何将Storm与其他知名的大数据技术向集成,如HBase、Redis以及Kafka,从而发现Storm的全部潜能。 最后,你将使用Storm对Apache的记录进行处理和机器学习,从而进行深入的案例研究。通过案例的学习,你将发现Storm的各种可能性。
    wilde(特殊组-翻译)9个月前 (08-15)