Learning Storm: Create real-time stream processing applications with Apache Storm
β Scribed by Ankit Jain, Anand Nalya
- Publisher
- Packt Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 252
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
<p><b>Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework</b></p> <h4>Key Features</h4> <ul><li>Master the art of real-time big data processing and machine learning </li> <li>Explore a wide range of use-cases to analyze
A Cookbook with plenty of practical recipes for different uses of Storm. If you are a Java developer with basic knowledge of real-time processing and would like to learn Storm to process unbounded streams of data in real time, then this book is for you.
Get started with Apache Flink, the open source framework that powers some of the worldβs largest stream processing applications. With this practical book, youβll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data proces
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