직수입외서는 변심/착오로 인해 주문을 취소할 경우 해외주문 취소수수료 20%가 부과됩니다.?
이미 소장하고 있다면 판매해 보세요.
PostgreSQL is no longer just a database; it is the backbone of modern, intelligent applications. This book shows you how to take PostgreSQL to the next level by combining advanced database techniques with AI-driven automation and multi-cloud strategies.
You will learn how to deploy PostgreSQL across AWS, Azure, and Google Cloud, implement serverless and Kubernetes-based architectures, and design for high availability, disaster recovery, and multi-region resilience. Along the way, you will explore how AI can support query optimization, anomaly detection, observability, and real-time analytics. The book also covers pgvector for semantic search, Retrieval-Augmented Generation, or RAG, for intelligent data retrieval, and in-database machine learning using PGML.
Security and compliance are addressed through practical coverage of Zero Trust models, IAM federation, and AI-enhanced threat detection. Hands-on labs, AMIs, and templates help you apply these techniques in real-world environments, from cloud-native deployments to enterprise-scale PostgreSQL operations.
By the end of the book, you will have the skills to design, secure, automate, and optimize intelligent PostgreSQL systems for the AI era.
What You Will Learn
Who this Book Is For
Senior database administrators, system architects, and cloud engineers who want to master advanced PostgreSQL deployments in multi-cloud environments. It's ideal for professionals looking to integrate AI-driven workflows, optimize performance, and build secure, scalable database systems for enterprise and real-time applications.
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