Learning Storm pdf epub mobi txt 电子书下载 2025

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Ankit 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 http://ankitasblogger.blogspot.in/. 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.

Anand Nalya

Anand Nalya is a full stack engineer with over 8 years of extensive experience in designing, developing, deploying, and benchmarking Big Data and web-scale applications for both start-ups and enterprises. He focuses on reducing the complexity in getting things done with brevity in code. He blogs about Big Data, web applications, and technology in general at http://anandnalya.com/. You can also follow him on Twitter at @anandnalya. When not working on projects, he can be found stargazing or reading.

出版者:Packt Publishing

作者:Ankit Jain

出品人:

页数:233

译者:

出版时间:2015-9-24

价格:$35.27

装帧:Paperback

isbn号码:9781783981328

丛书系列:

图书标签:

Storm
数据挖掘
DataScience

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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 For

If 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 Detail

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.