Overview

Have you ever wondered how modern enterprises harness the power of AI directly inside their databases? Do you find yourself asking, ""What if my database could not only store data but also understand, search, and act on it intelligently?"" Imagine managing large-scale data workloads with self-driving, self-securing, and self-repairing systems-wouldn't that make your life as a developer, DBA, or cloud architect infinitely easier? What if you could query semantic data with AI vector search, combine relational and JSON formats seamlessly, and build modern applications that integrate AI without leaving your database environment? Have you considered the benefits of autonomous transaction processing, real-time analytics, and advanced security frameworks, all orchestrated in a cloud-native infrastructure? Do you struggle with scaling, monitoring, or troubleshooting complex workloads? Wouldn't it help to have expert strategies for performance optimization, automated indexing, resource governance, and enterprise-grade disaster recovery-all explained step by step? And what if you could see real-world applications and case studies, guiding you from beginner understanding to professional mastery? This book isn't just theory-it's designed to answer your ""how"" and ""why"" at every level. From hands-on guidance for developers and data engineers to deep-dive strategies for cloud architects and enterprise leaders, it equips you to design, implement, and optimize AI-driven, autonomous database systems with confidence. Are you ready to take control of the future of data? Start exploring, learning, and transforming the way you work with intelligent, autonomous databases today.

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