Book Image

Learning Storm

By : Ankit Jain, Anand Nalya
Book Image

Learning Storm

By: Ankit Jain, Anand Nalya

Overview of this book

<p>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.</p> <p>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.</p> <p>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.</p>
Table of Contents (16 chapters)
Learning Storm
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we learned how to process the Apache logfile, how to identify the country name from the IP address, how to identify a user's operating system and browser by analyzing the logfile, and how to extract the searched keyword by analyzing the referrer URL.

In the next chapter, we will learn how to solve the machine learning problem through Storm.