Скачать или смотреть 📘 Designing Data-Intensive Applications | System Design | Book Summary

In this video, we summarize Designing Data-Intensive Applications by Martin Kleppmann — a must-read for software engineers, architects, and anyone building scalable, reliable systems. This book dives deep into the architecture of modern data systems and the trade-offs involved in designing high-performance, fault-tolerant applications.

🔍 What You’ll Learn:

Core concepts of databases, storage engines, and indexes

Batch vs. stream processing

Consistency, availability, and partition tolerance (CAP theorem)

Distributed systems and replication strategies

Real-world patterns for building scalable applications

Event-driven architecture and dataflow design

💡 This summary covers key takeaways from each chapter to help you understand how modern systems are built — all in under one video!

👉 If you're serious about backend engineering, system design, or distributed computing, this book (and this video) is for you.

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