Mastering Oracle Autonomous AI Database : AI-Powered Automation for Cloud and Data Management
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Overview
Unlock the power of Oracle Autonomous AI Database to modernize your data platform and advance AI-driven automation across the enterprise.
This practical guide explains how to simplify operations, enhance security, and optimize performance in cloud environments using Oracle's latest autonomous technologies. It bridges foundational concepts and real-world implementation, helping organizations adopt autonomous data management with confidence.
Designed for database professionals, architects, developers, and IT leaders, the book presents a concept-to-implementation approach supported by hands-on examples, proven best practices, and enterprise use cases. Readers will learn how to provision, manage, and optimize Oracle Autonomous AI Database on Oracle Cloud Infrastructure, integrate it with modern applications, and use built-in AI and machine learning capabilities for analytics and automation.
Whether supporting a cloud migration, developing next-generation applications, defining a multicloud strategy, or implementing advanced security and compliance controls, this book provides the practical knowledge needed for modern data management.
What You Will Learn
- Understand the architecture, core components, and key capabilities of Oracle Autonomous AI Database.
- Provision, configure, and manage Autonomous AI Database on Oracle Cloud Infrastructure.
- Develop applications with Oracle APEX and use Oracle Data Studio for data preparation, analytics, and visualization.
- Apply AI-driven performance optimization techniques, including automatic indexing, intelligent query optimization, and workload management.
- Implement security and availability best practices with encryption, access controls, auditing, and Autonomous Data Guard.
- Work with the latest Oracle Database 26ai features for developers and DBAs.
- Design hybrid and multicloud architectures that support enterprise-scale performance, security, and compliance.
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Details
- ISBN-13: 9798868827969
- ISBN-10: 9798868827969
- Publisher: Apress
- Publish Date: November 2026
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