Book Image

Mastering Apache Storm

By : Ankit Jain
Book Image

Mastering Apache Storm

By: Ankit Jain

Overview of this book

Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm. The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You’ll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we’ll introduce you to Trident and you’ll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm. With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs.
Table of Contents (19 chapters)
Title Page
About the Author
About the Reviewers
Customer Feedback

Twitter sentiment analysis

We will be dividing the sentiments use case into two parts:

  • Collecting tweets from Twitter and storing them in Kafka
  • Reading the data from Kafka, calculating the sentiments, and storing them in HDFS

Using Kafka producer to store the tweets in a Kafka cluster

In this section, we are going to cover how we can stream the tweets from Twitter using the twitter streaming API. We are also going to cover how we can store the fetched tweets in Kafka for later processing through Storm.

We are assuming you already have a twitter account, and that the consumer key and access token are generated for your application. You can refer to: to generate a consumer key and access token. Take the following steps:

  1. Create a new maven project with groupId, com.stormadvance and artifactId, kafka_producer_twitter.


  1. Add the following dependencies to the pom.xml file. We are adding the Kafka and...