Learning Storm

More Information
Learn
  • Learn the core concepts of Apache Storm and real-time processing
  • Deploy Storm in the local and clustered modes
  • Design and develop Storm topologies to solve real-world problems
  • Read data from external sources such as Apache Kafka for processing in Storm and store the output into HBase and Redis
  • Create Trident topologies to support various message-processing semantics
  • Monitor the health of a Storm cluster
About

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.

Features
  • 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
Page Count 252
Course Length 7 hours 33 minutes
ISBN 9781783981328
Date Of Publication 25 Aug 2014

Authors

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.

Ankit Jain

Ankit Jain currently works as a senior research scientist at Uber AI Labs, the machine learning research arm of Uber. His work primarily involves the application of deep learning methods to a variety of Uber's problems, ranging from forecasting and food delivery to self-driving cars. Previously, he has worked in a variety of data science roles at the Bank of America, Facebook, and other start-ups. He has been a featured speaker at many of the top AI conferences and universities, including UC Berkeley, O'Reilly AI conference, and others. He has a keen interest in teaching and has mentored over 500 students in AI through various start-ups and bootcamps. He completed his MS at UC Berkeley and his BS at IIT Bombay (India).