[Data Science Reference]Learning Storm Packt 2014 [推广有奖]

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learning storm

About This Book

Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka
Explore log processing and machine learning using Storm
Step-by-step and easy-to-understand guide to effortlessly create applications with Storm

Who This Book Is ForIf you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm, then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book, you will be able to develop not-so-complex Storm applications.
In DetailStarting 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

Editorial ReviewsAbout the AuthorAnkit Jain
Ankit Jain holds a Bachelor's degree in Computer Science Engineering. He has 4 years of experience in designing and architecting solutions for the Big Data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, ElasticSearch, Machine Learning, Kafka, Spring, Java, and J2EE. He is currently employed with Impetus Infotech Pvt. Ltd. He also shares his thoughts on his personal blog at You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, he spends time with his family and friends watching movies and playing games.

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