Mastering Oracle Autonomous AI Database - by Chandan Balchand Tanwani (Paperback)

Book Synopsis

Oracle Autonomous AI Database is evolving quickly, and practitioners need more than a feature overview to keep up. They need to understand how to use its automation, AI-native capabilities, and Oracle Database 26ai features in real cloud and enterprise environments.

This practical guide shows how to provision, manage, tune, secure, and scale Oracle Autonomous AI Database on Oracle Cloud Infrastructure using real-world examples and enterprise-focused best practices. It is designed for database professionals, cloud architects, developers, and IT leaders who need to simplify operations, improve performance, strengthen security, and support AI-driven applications.

Using a concept-to-implementation approach, the book takes you from initial provisioning decisions through architecture, lifecycle management, performance optimization, security design, and the AI-native capabilities of Oracle AI Database 26ai. You will learn how to integrate Oracle Autonomous AI Database with modern applications and apply built-in AI and machine learning capabilities for analytics, automation, and intelligent decision-making.

The book also covers emerging Oracle capabilities including MCP Server, Private Agent Factory, and Autonomous AI Lakehouse, rounding out a practical guide to the current and future capabilities of Oracle Autonomous AI Database.

What You Will Learn

• Understand the architecture, core components, and key capabilities of Oracle Autonomous AI Database
• Provision, manage, and scale Oracle Autonomous AI Database on OCI, including Serverless and Dedicated deployment options
• Tune performance and optimize workloads using Automatic Indexing, Performance Hub, and Query Optimizer enhancements
• Implement security by design using TDE, SQL Firewall, Deep Data Security, and post-quantum cryptography
• Build AI-powered applications using AI Vector Search, Select AI, JSON Relational Duality Views, and Oracle APEX
• Apply Oracle Database 26ai features, MCP Server, Private Agent Factory, and Autonomous AI Lakehouse patterns in enterprise environments

Who This Book Is For

Database professionals, cloud architects, developers, and IT leaders aiming to simplify operations and leverage AI-driven automation with Oracle Autonomous Database. Also useful for technology consultants and data engineers involved in cloud migrations and modern application development.

From the Back Cover

Oracle Autonomous AI Database is evolving quickly, and practitioners need more than a feature overview to keep up. They need to understand how to use its automation, AI-native capabilities, and Oracle Database 26ai features in real cloud and enterprise environments.

This practical guide shows how to provision, manage, tune, secure, and scale Oracle Autonomous AI Database on Oracle Cloud Infrastructure using real-world examples and enterprise-focused best practices. It is designed for database professionals, cloud architects, developers, and IT leaders who need to simplify operations, improve performance, strengthen security, and support AI-driven applications.

Using a concept-to-implementation approach, the book takes you from initial provisioning decisions through architecture, lifecycle management, performance optimization, security design, and the AI-native capabilities of Oracle AI Database 26ai. You will learn how to integrate Oracle Autonomous AI Database with modern applications and apply built-in AI and machine learning capabilities for analytics, automation, and intelligent decision-making.

The book also covers emerging Oracle capabilities including MCP Server, Private Agent Factory, and Autonomous AI Lakehouse, rounding out a practical guide to the current and future capabilities of Oracle Autonomous AI Database.

What You Will Learn

• Understand the architecture, core components, and key capabilities of Oracle Autonomous AI Database
• Provision, manage, and scale Oracle Autonomous AI Database on OCI, including Serverless and Dedicated deployment options
• Tune performance and optimize workloads using Automatic Indexing, Performance Hub, and Query Optimizer enhancements
• Implement security by design using TDE, SQL Firewall, Deep Data Security, and post-quantum cryptography
• Build AI-powered applications using AI Vector Search, Select AI, JSON Relational Duality Views, and Oracle APEX
• Apply Oracle Database 26ai features, MCP Server, Private Agent Factory, and Autonomous AI Lakehouse patterns in enterprise environments

About the Author

Chandan Tanwani is an Oracle ACE Pro and enterprise architect with more than 19 years of experience across Oracle Database technologies, from Oracle Database 7 through Oracle AI Database 26ai. He specializes in database architecture, performance tuning, high availability, disaster recovery, and cloud transformation across on-premises, Oracle Cloud Infrastructure, and private cloud environments. He is a frequent Oracle community speaker and holds certifications including Oracle Certified Performance Tuning Expert, Oracle Cloud Infrastructure Architect Professional, Oracle Autonomous Database Specialist, and TOGAF 10 Enterprise Architect.