December 2015
Beginner to intermediate
122 pages
2h 23m
English
Overview
Learn how to harness the power of Apache Storm for real-time data stream processing using Python with this insightful book. You'll discover how to integrate Storm seamlessly with popular NoSQL databases like MongoDB and Redis while learning to build highly distributed and scalable systems. This book is tailored to make mastering complex data processing frameworks approachable and practical.
What this Book will help me do
- Understand the components of Apache Storm and their functionalities.
- Learn to build and run real-time data processing pipelines using Python and Petrel.
- Integrate Storm with NoSQL databases like MongoDB and Redis for persistent data storage.
- Implement production-grade topologies with best practices for scalability and fault-tolerance.
- Master debugging and testing Storm applications with practical tools and techniques.
Author(s)
None Bhatnagar and None Hart are seasoned software engineers specializing in big data solutions. With years of industry experience, they bring a practical perspective to solving complex real-time data problems. Their passion for making advanced technical concepts accessible shines through in this well-structured and user-friendly book.
Who is it for?
This book is aimed at Python developers looking to add real-time data processing to their skillset. Whether you're an experienced developer or new to Python, the approachable step-by-step explanations cater to various expertise levels. If you're seeking practical expertise in Apache Storm without diving into Java, this book is for you. It's an especially great resource for those interested in distributed systems and data engineering.
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