Big Data Architecture Patterns: A Beginner's Guide

Описание: 🚀 Ready to dive into the world of Big Data Architecture? This video breaks down complex architectural patterns into easy-to-understand concepts, perfect for beginners! 🌟

We'll explore essential architectures like Lambda, Kappa, Microservices, Event-Driven, Data Lake, and Data Mesh, explaining how each one tackles the challenges of volume, velocity, and variety in big data. Learn when and why to use each pattern to build scalable and efficient data solutions. 🛠️

From real-time processing to historical analysis, we cover the core principles and benefits of each architecture, providing a solid foundation for your big data journey. Discover how to choose the right pattern for your specific needs, considering factors like data volume, latency, team expertise, and budget. 💰

By the end of this video, you'll have a clear understanding of the most common big data architecture patterns and be ready to design your own scalable solutions! 🎉

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Chapters:
00:00 - Big Data Architecture Patterns
00:09 - What is Big Data Architecture?
00:42 - Lambda Architecture Pattern
01:14 - Kappa Architecture Pattern
01:48 - Microservices Architecture Pattern
02:27 - Event-Driven Architecture Pattern
02:57 - Data Lake Architecture Pattern
03:26 - Data Mesh Architecture Pattern
04:02 - Polyglot Persistence Pattern
04:38 - Choosing the Right Pattern
05:26 - Outro

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