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DESIGNING DATA-INTENSIVE APPLICATIONS: FROM FIRST PRINCIPLES TO AI-NATIVE SYSTEMS
Design systems that don’t fail at scale.
This is not just another book on databases or distributed systems.
This is a complete, modern guide to designing data-intensive applications for the real world—from core principles to AI-native architectures.
Inside this book, you will learn how
Design reliable, scalable, and maintainable data systems
Make the right tradeoffs between consistency, availability, cost, and performance
Build distributed systems that survive failures and growth
Design streaming, batch, and real-time analytics pipelines
Create AI-ready data architectures with feature stores, vector databases, and RAG
Prevent outages by learning from real-world failure case studies
Think and communicate like a principal-level system architect
This book goes beyond theory
Real-life analogies that make complex ideas intuitive
Hands-on labs, mini projects, and production scenarios
AI-driven insights and future-ready design patterns
Clear end-of-chapter summaries, key points, and reflection questions
Whether you are a software engineer, system architect, data engineer, cloud professional, or preparing for system design interviews, this book gives you the mindset and mastery to design systems that last.
If data is the heart of your application, this book is your blueprint.
This is not just another book on databases or distributed systems.
This is a complete, modern guide to designing data-intensive applications for the real world—from core principles to AI-native architectures.
Inside this book, you will learn how
Design reliable, scalable, and maintainable data systems
Make the right tradeoffs between consistency, availability, cost, and performance
Build distributed systems that survive failures and growth
Design streaming, batch, and real-time analytics pipelines
Create AI-ready data architectures with feature stores, vector databases, and RAG
Prevent outages by learning from real-world failure case studies
Think and communicate like a principal-level system architect
This book goes beyond theory
Real-life analogies that make complex ideas intuitive
Hands-on labs, mini projects, and production scenarios
AI-driven insights and future-ready design patterns
Clear end-of-chapter summaries, key points, and reflection questions
Whether you are a software engineer, system architect, data engineer, cloud professional, or preparing for system design interviews, this book gives you the mindset and mastery to design systems that last.
If data is the heart of your application, this book is your blueprint.
220 pages, Kindle Edition
Published December 30, 2025
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