DESIGNING DATA-INTENSIVE APPLICATIONS: FROM FIRST PRINCIPLES TO AI-NATIVE SYSTEMS
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DESIGNING DATA-INTENSIVE APPLICATIONS: FROM FIRST PRINCIPLES TO AI-NATIVE SYSTEMS

by Mohan Rayithi

artificial intelligence Data Science System Architecture
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Designing Data-Intensive Applications: From First Principles to AI-Native Systems offers a broad technology-focused look at building software around data. It connects foundational thinking about data-intensive applications with the emerging direction of AI-native systems, making it relevant to readers exploring computer science, software architecture, and artificial intelligence.

About This Book

Designing Data-Intensive Applications: From First Principles to AI-Native Systems presents a technology-focused exploration of modern application design.

The book connects foundational principles of data-intensive systems with the evolving requirements of AI-native software.

It is intended for readers seeking a broad perspective on how data, software architecture, and artificial intelligence intersect.

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I will be using this book for: