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Apache Storm

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May 1, 2024 3 minute read

Apache Storm is a real-time distributed stream processing platform that is designed to provide a fault-tolerant and scalable platform for processing large volumes of data in real-time. It is used to process data in motion, which means that it can process data as it is being generated, rather than waiting for it to be stored in a database. This makes it ideal for applications that require real-time data processing, such as financial trading, fraud detection, and sensor data analysis.

Why Learn Apache Storm?

There are many reasons to learn Apache Storm. It is a powerful tool that can be used for a wide variety of applications, and it is a popular choice for organizations that need to process large volumes of data in real-time. Some of the benefits of learning Apache Storm include:

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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Apache Storm.
Covers the core concepts of Apache Storm, including its architecture, data model, and processing capabilities. It provides hands-on examples and best practices for building and deploying Storm topologies.
This guide provides a comprehensive overview of Apache Storm, covering its architecture, programming model, and use cases. It also includes hands-on exercises and case studies.
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