Designing the AI-Driven Data Foundations

Designing the AI-Driven Data Foundations, 1st Edition, offers data architects and technical leaders a practical blueprint for structuring modern enterprise data environments. Author Sanjeev Mohan details foundational principles for preparing core data systems to support artificial intelligence workloads across 272 pages. The text focuses on establishing clear architectural frameworks that align enterprise data resources with modern computing demands.

The content explores both operational data stores and analytical data stores, presenting technical evaluation frameworks for assessing data repositories under heavy intelligence workloads. It details AI-driven data engineering practices alongside specialized data architectures designed for generative AI systems. These sections assist engineering teams in evaluating infrastructure options and implementing reliable technical pipelines.

A key section analyzes how autonomous AI agents act as primary, first-class consumers of data within modern software environments. This analysis provides actionable guidance specifically targeted at data architects and technical leaders managing infrastructure decisions.