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Duration 14 hours
Course Outline
Introduction to Oracle 23ai
- Summary of key Oracle 23ai features and strategic vision
- Distinctive improvements compared to 19c and 21c
- AI integration strategies for modern workloads
AI Vector Search and Embeddings
- AI Vector Search: underlying architecture and application scenarios
- Managing and indexing vector data within Oracle 23ai
- Real-world examples for search optimization and AI inference
Automation and Observability
- New observability dashboards and telemetry capabilities
- Advanced automation for routine DBA operations
- Proactive alerting systems and resource monitoring enhancements
Performance and SQL Improvements
- SQL enhancements specific to Oracle 23ai
- Refinements in indexing, join operations, and query optimization
- Real-time statistics and advanced diagnostic tools
Security and Compliance
- Updated auditing and encryption features
- Enhancements to policy management frameworks
- Alignment with Oracle Cloud Infrastructure (OCI) security controls
Upgrade and Migration Strategy
- Evaluating system readiness and compatibility
- Recommended tools and best practices for smooth upgrades
- Considerations for hybrid cloud environments
Backup, Recovery, and Cloud Solutions
- Changes to backup procedures in Oracle 23ai
- Flashback and recovery mechanism improvements
- Multicloud capabilities and autonomous database features
Recap and Future Directions
Requirements
- A solid grasp of Oracle database architecture and administrative procedures
- Hands-on experience with Oracle 19c or 21c
- Proficiency in SQL, PL/SQL, and fundamental DBA utilities
Target Audience
- Oracle database administrators
- Database architects
- Infrastructure professionals managing Oracle environments
Testimonials (1)
good explanation on each points and provide assignment for practices.