Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud 1st Edition ISBN:978-1098151614

Architecting Data and Machine Learning Platforms guides technical leaders and engineers through designing scalable, cloud-native systems for analytics and AI workloads. This first edition covers platform architecture principles, data pipeline design, ML infrastructure, and best practices for enabling innovation at enterprise scale. Ideal for teams building or modernizing data platforms, this comprehensive resource bridges the gap between theoretical ML concepts and production-ready implementations. Essential reading for architects, data engineers, and platform engineers preparing organizations for AI-driven decision-making.