Items related to Mastering Oracle Autonomous AI Database: AI-Powered...
Mastering Oracle Autonomous AI Database: AI-Powered Data Management, Automation, and 26ai Features for the Modern Enterprise - Softcover
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.
"synopsis" may belong to another edition of this title.
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.
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 this title" may belong to another edition of this title.
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Mastering Oracle Autonomous AI Database: AI-Powered Data Management, Automation, and 26ai Features for the Modern Enterprise
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Mastering Oracle Autonomous AI Database
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Paperback. Condition: New. 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 LearnUnderstand the architecture, core components, and key capabilities of Oracle Autonomous AI DatabaseProvision, manage, and scale Oracle Autonomous AI Database on OCI, including Serverless and Dedicated deployment optionsTune performance and optimize workloads using Automatic Indexing, Performance Hub, and Query Optimizer enhancementsImplement security by design using TDE, SQL Firewall, Deep Data Security, and post-quantum cryptographyBuild AI-powered applications using AI Vector Search, Select AI, JSON Relational Duality Views, and Oracle APEXApply Oracle Database 26ai features, MCP Server, Private Agent Factory, and Autonomous AI Lakehouse patterns in enterprise environmentsWho This Book Is ForDatabase 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. Seller Inventory # LU-9798868827969
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Paperback. Condition: new. Paperback. 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 LearnUnderstand the architecture, core components, and key capabilities of Oracle Autonomous AI DatabaseProvision, manage, and scale Oracle Autonomous AI Database on OCI, including Serverless and Dedicated deployment optionsTune performance and optimize workloads using Automatic Indexing, Performance Hub, and Query Optimizer enhancementsImplement security by design using TDE, SQL Firewall, Deep Data Security, and post-quantum cryptographyBuild AI-powered applications using AI Vector Search, Select AI, JSON Relational Duality Views, and Oracle APEXApply Oracle Database 26ai features, MCP Server, Private Agent Factory, and Autonomous AI Lakehouse patterns in enterprise environmentsWho This Book Is ForDatabase 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798868827969
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnUnderstand the architecture, core components, and key capabilities of Oracle Autonomous AI DatabaseProvision, manage, and scale Oracle Autonomous AI Database on OCI, including Serverless and Dedicated deployment optionsTune performance and optimize workloads using Automatic Indexing, Performance Hub, and Query Optimizer enhancementsImplement security by design using TDE, SQL Firewall, Deep Data Security, and post-quantum cryptographyBuild AI-powered applications using AI Vector Search, Select AI, JSON Relational Duality Views, and Oracle APEXApply Oracle Database 26ai features, MCP Server, Private Agent Factory, and Autonomous AI Lakehouse patterns in enterprise environmentsWho This Book Is ForDatabase 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. 642 pp. Englisch. Seller Inventory # 9798868827969
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Mastering Oracle Autonomous AI Database : AI-Powered Data Management, Automation, and 26ai Features for the Modern Enterprise
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 LearnUnderstand the architecture, core components, and key capabilities of Oracle Autonomous AI DatabaseProvision, manage, and scale Oracle Autonomous AI Database on OCI, including Serverless and Dedicated deployment optionsTune performance and optimize workloads using Automatic Indexing, Performance Hub, and Query Optimizer enhancementsImplement security by design using TDE, SQL Firewall, Deep Data Security, and post-quantum cryptographyBuild AI-powered applications using AI Vector Search, Select AI, JSON Relational Duality Views, and Oracle APEXApply Oracle Database 26ai features, MCP Server, Private Agent Factory, and Autonomous AI Lakehouse patterns in enterprise environmentsWho This Book Is ForDatabase 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. Seller Inventory # 9798868827969
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Taschenbuch. Condition: Neu. Mastering Oracle Autonomous AI Database | AI-Powered Data Management, Automation, and 26ai Features for the Modern Enterprise | Chandan Balchand Tanwani | Taschenbuch | xxxvi | Englisch | 2026 | APRESS L.P. | EAN 9798868827969 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 136087037
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Paperback. Condition: New. 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 LearnUnderstand the architecture, core components, and key capabilities of Oracle Autonomous AI DatabaseProvision, manage, and scale Oracle Autonomous AI Database on OCI, including Serverless and Dedicated deployment optionsTune performance and optimize workloads using Automatic Indexing, Performance Hub, and Query Optimizer enhancementsImplement security by design using TDE, SQL Firewall, Deep Data Security, and post-quantum cryptographyBuild AI-powered applications using AI Vector Search, Select AI, JSON Relational Duality Views, and Oracle APEXApply Oracle Database 26ai features, MCP Server, Private Agent Factory, and Autonomous AI Lakehouse patterns in enterprise environmentsWho This Book Is ForDatabase 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. Seller Inventory # LU-9798868827969