Learning Storm
By Ankit Jain, Anand Nalya
Publisher: Packt Publishing
Final Release Date: August 2014
Pages: 252

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.

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A good start to storm

By Ankita

from Bangalore, India

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  • Easy to understand
  • Helpful examples


    Best Uses

    • Novice
    • Student

    Comments about oreilly Learning Storm:

    I was looking to get started with Storm and this book is a good reference for it. Even though I've read only first three chapters till now, I'm able to build simple topologies and running them on Storm.

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