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Pro Oracle GoldenGate 23ai for the DBA : Powering the Foundation of Data Integration and AI / by Bobby Curtis.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Curtis, Bobby.
Series:
Professional and Applied Computing Series
Language:
English
Subjects (All):
Oracle (Computer file).
Database management.
Physical Description:
1 online resource (286 pages)
Edition:
2nd ed. 2025.
Place of Publication:
Berkeley, CA : Apress : Imprint: Apress, 2025.
Summary:
Transform your data replication strategy into a competitive advantage with Oracle GoldenGate 23ai. 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 .
Contents:
Introduction: The Data Pipeline Foundation for the AI Revolution
1. Architectures
2. Oracle GoldenGate Services
3. Installation
4. Prerequisites for Oracle GoldenGate 23ai and Beyond
5. Implementation: From Deployment to Production
6. Upgrading Oracle GoldenGate
7. Performance Tuning
8. Security
9. Oracle GoldenGate Utilities
10. Advanced Features
11. AdminClient
12. Oracle GoldenGate with RESTful APIs and Python
13. Vector Replication
14. Oracle to Google BigQuery
15. Oracle to Oracle Database 23ai @GCP
16. Oracle to Snowflake
17. PostgreSQL to PostgreSQL Replication
18. OCI GoldenGate
19. Licensing
20. Licensing Optimization, Compliance, and Future Proofing
21. Bridging Oracle GoldenGate Classic to 23ai
22. Odds and Ends
Appendices.
Notes:
Description based upon print version of record.
Description based on publisher supplied metadata and other sources.
ISBN:
9798868807824
OCLC:
1553119248

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