This comprehensive guide delivers the practical knowledge DBAs and architects need to implement, optimize, and scale Oracle GoldenGate 23ai in production environments. Written by Oracle ACE Director Bobby Curtis, it blends deep technical expertise with real-world business insights from hundreds of implementations across manufacturing, financial services, and technology sectors.
Beyond traditional replication, this book explores the groundbreaking capabilities that make GoldenGate 23ai essential for modern AI initiatives. Learn how to implement real-time vector replication for RAG systems, integrate with cloud platforms like GCP and Snowflake, and automate deployments using REST APIs and Python. Each chapter offers proven strategies to deliver measurable ROI while reducing operational risk.
Whether you're upgrading from Classic GoldenGate, deploying your first cloud data pipeline, or building AI-ready data architectures, this book provides the strategic guidance and technical depth to succeed. With Bobby's signature direct approach, you'll avoid common pitfalls and implement best practices that scale with your business.

What You Will Learn
- Master the microservices architecture and new capabilities of Oracle GoldenGate 23ai
- Implement secure, high-performance data replication across Oracle, PostgreSQL, and cloud databases
- Configure vector replication for AI and machine learning workloads, including RAG systems
- Design and build multi-master replication models with automatic conflict resolution
- Automate deployments and management using RESTful APIs and Python
- Optimize performance for sub-second replication lag in production environments
- Secure your replication environment with enterprise-grade features and compliance
- Upgrade from Classic to Microservices architecture with zero downtime
- Integrate with cloud platforms including OCI, GCP, AWS, and Azure
- Implement real-time data pipelines to BigQuery, Snowflake, and other cloud targets
- Navigate Oracle licensing models and optimize costs
- Troubleshoot complex replication scenarios with proven methodologies

Master the microservices architecture and new capabilities of Oracle GoldenGate 23ai Implement secure, high-performance data replication across Oracle, PostgreSQL, and cloud databases Configure vector replication for AI and machine learning workloads, including RAG systems Design and build multi-master replication models with automatic conflict resolution Automate deployments and management using RESTful APIs and Python Optimize performance for sub-second replication lag in production environments Secure your replication environment with enterprise-grade features and compliance Upgrade from Classic to Microservices architecture with zero downtime Integrate with cloud platforms including OCI, GCP, AWS, and Azure Implement real-time data pipelines to BigQuery, Snowflake, and other cloud targets Navigate Oracle licensing models and optimize costs

Who This Book Is For

Database administrators, architects, and IT leaders working with Oracle GoldenGate--whether deploying for the first time, migrating from Classic architecture, or enabling AI-driven replication--will find actionable guidance on implementation, performance tuning, automation, and cloud integration. Covers unidirectional and multi-master replication and is packed with real-world use cases.