Learning Apache Storm for Big Data Processing
Set up a Storm Cluster and develop end-to-end Storm topologies using Java
Created by Prashant Nair
Explore how Apache Storm enables real-time processing of massive data streams with a focus on scalability and fault tolerance. You will set up Storm clusters, understand its architecture, and build end-to-end topologies using Java. Gain hands-on experience in creating robust, real-time applications for big data environments.
Packt | Jul 2018 | 155 min
What You Will Learn
You will start by exploring the fundamentals of real-time data processing and the architecture of Apache Storm. Through practical examples, you will configure both single-node and multi-node clusters, work with core components like spouts and bolts, and build complete topologies. Each step builds your confidence in handling real-world big data challenges.
Key Features
- Set up and configure Apache Storm clusters for scalable data processing
- Develop and deploy real-time data processing topologies using Java
- Implement fault-tolerant solutions and optimize stream processing workflows
Target Audience
Ideal for data engineers, Java developers, and technical professionals working with big data who want to master real-time stream processing. If you have experience with Java and a basic understanding of tools like Maven, Eclipse, or Linux terminals, you will be able to quickly apply these skills to real projects and advance your expertise in distributed systems.
