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.
Who This Book Is For
Database professionals, cloud architects, developers, and IT leaders who want to streamline operations and take advantage of AI‑driven automation with Oracle Autonomous AI Database. It is also useful for technology consultants and data engineers involved in cloud migrations, application modernization, and enterprise data architecture.
About the Author :
Chandan Tanwani is an experienced Oracle professional and enterprise architect with more than nineteen years of hands-on expertise across Oracle Database technologies. His background spans versions from Oracle Database 7 through Oracle Database 26ai, with a current focus on Oracle Autonomous AI Database and AI-powered data management.
Tanwani specializes in database architecture, performance tuning, high availability, disaster recovery, and cloud transformation across on-premises environments, Oracle Cloud Infrastructure, and private cloud deployments. He works closely with enterprises to define data and cloud strategies, design scalable architectures, and guide early pilots and proofs of concept for next-generation Oracle solutions.
An Oracle ACE Pro recognized for his contributions to the global Oracle community, Tanwani is a frequent speaker at major international and regional conferences, including Oracle AI World, AIOUG, INOAUG, APACOUC, and AUSOUG. His talks focus on database performance, cloud-native architecture, autonomous data management, and emerging AI-driven capabilities within Oracle Database.
Tanwani holds multiple professional certifications, including Oracle Performance Tuning Expert, Oracle Cloud Infrastructure Architect Professional, Oracle Autonomous Database Specialist, and TOGAF 10 Enterprise Architect. He is also an active community contributor and technical writer.
