Overview

From Data to Intelligence: Building the Convergent Stack is a practical guide to designing, building, and operating modern data and AI systems. It moves beyond siloed treatments of databases, cybersecurity, data science, and artificial intelligence to explore how these layers integrate into a cohesive stack-the convergent stack. The book is structured as a journey through the layers of intelligence: Database Management: The foundation-how data is stored, versioned, and streamed. Data Types: The raw materials-how structure dictates processing and value. AI & Machine Learning: The autonomous layer-how models are built, deployed, and integrated. Cybersecurity: The protective layer-how intelligent systems are secured. Further Layers: Covering orchestration, governance, and human-in-the-loop design. Each chapter blends theory with practice, featuring real-world cases, interactive exercises, and clear summaries. The book is designed for practitioners-data engineers, scientists, ML engineers, and architects-as well as leaders and students seeking a unified view of the data-to-intelligence pipeline.

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