Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to Oracle 23ai
- Summary of Oracle 23ai features and strategic vision
- Distinctive improvements compared to 19c and 21c
- Integration of AI and support for modern workloads
AI Vector Search and Embeddings
- AI Vector Search: Architectural design and applicable scenarios
- Techniques for storing and indexing vectors in Oracle 23ai
- Real-world applications for search and AI inference
Automation and Observability
- New observability dashboards and telemetry capabilities
- Advanced automation for routine DBA tasks
- Proactive alerting mechanisms and resource monitoring
Performance and SQL Improvements
- SQL enhancements specific to Oracle 23ai
- Optimizations in indexing, joins, and query processing
- Real-time statistics and refined diagnostic tools
Security and Compliance
- Updated auditing and encryption functionalities
- Enhancements in policy management
- Alignment with Oracle Cloud Infrastructure (OCI) controls
Upgrade and Migration Strategy
- Evaluating system readiness and compatibility
- Recommended tools and best practices for upgrading
- Considerations for hybrid cloud architectures
Backup, Recovery, and Cloud Solutions
- Changes to backup methodologies in Oracle 23ai
- Improvements in flashback and recovery processes
- Multicloud support and autonomous database features
Conclusion and Future Directions
Requirements
- Solid grasp of Oracle database architecture and administrative procedures
- Practical experience with Oracle 19c or 21c
- Proficiency in SQL, PL/SQL, and fundamental DBA utilities
Target Audience
- Oracle database administrators
- Database architects
- Infrastructure engineers responsible for Oracle environments
Testimonials (1)
good explanation on each points and provide assignment for practices.