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.
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.
發表於2024-09-09
Learning Storm 2024 pdf epub mobi 電子書 下載
圖書標籤: Storm 數據挖掘 DataScience
入門指導非常細,是優點也是缺點
評分看PDF版本的,除瞭代碼排版有些問題之外,是非常好的一本入門書。感覺比看官方文檔效果更好。
評分看PDF版本的,除瞭代碼排版有些問題之外,是非常好的一本入門書。感覺比看官方文檔效果更好。
評分入門指導非常細,是優點也是缺點
評分入門指導非常細,是優點也是缺點
Learning Storm 2024 pdf epub mobi 電子書 下載