DESIGNING DATA-INTENSIVE APPLICATIONS: FROM FIRST PRINCIPLES TO AI-NATIVE SYSTEMS
A guide to designing scalable and reliable data systems, covering foundational principles through modern AI-native architectures for technology professionals and engineers.
About This Book
This book explores the core principles behind designing data-intensive applications that can handle large-scale workloads reliably and efficiently.
It covers foundational concepts in distributed systems, storage, and processing, providing readers with a solid understanding of how modern data architectures function.
The content extends into contemporary approaches, including the integration of AI-native systems and their impact on data infrastructure design.
Readers will gain insight into the trade-offs and decisions involved in building robust data platforms that meet evolving technological demands.
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