Advanced Data and AI Platforms : Architecture, Engineering, and Deployment
Overview
Advanced Data and AI Platforms: Architecture, Engineering, and Deployment provides a practical and comprehensive guide to designing, building, deploying, and managing modern enterprise data and AI platforms. The book explores the architectural foundations of scalable data ecosystems, modern data engineering practices, AI workload architecture, feature and model management, and end-to-end model lifecycle management. It further examines platform engineering through containerization, orchestration, infrastructure automation, security, CI/CD, and observability. Readers will gain insights into reliable model serving, performance monitoring, continuous improvement, and resilient production deployments. The book also addresses enterprise-scale requirements, including governance, compliance, cost optimization, resource efficiency, multi-cloud and hybrid architectures, and security risk management. By connecting architecture with engineering and operational practices, this book helps professionals understand how data and AI platforms can be designed for scalability, reliability, security, and business continuity. It is a valuable reference for data engineers, AI practitioners, platform engineers, architects, and technology leaders.
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Details
- ISBN-13: 9798908174527
- ISBN-10: 9798908174527
- Publisher: Notion Press
- Publish Date: October 2026
- Dimensions: 9 x 6 x 0.41 inches
- Shipping Weight: 0.59 pounds
- Page Count: 194
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